Multi-component transition metal carbides(MTMCs)have garnered significant attention for their out-standing high-temperature stability and versatile properties,which make them ideal candidates for a wide range of indus...Multi-component transition metal carbides(MTMCs)have garnered significant attention for their out-standing high-temperature stability and versatile properties,which make them ideal candidates for a wide range of industrial applications.However,the underlying mechanisms governing the crystal growth and morphological evolution of MTMCs remain poorly understood,hindering the design of materials with tailored characteristics.In this paper,we employ an in-situ liquid-solid reaction method to synthesize(HfTaZrNbTi)C MTMC powders and explore their crystal growth and morphology evolution.The synthesized(TiZrHfNbTa)C powders exhibit two distinct morphologies:cubic,primarily composed of Ti,Hf,Ta,and Zr with a small amount of Nb,and octahedral,rich in Ti and Ta with minor amounts of Hf,Nb,and Zr.First-principles calculations show that the surface energy of the(100)plane is lower than the(111)plane,leading to the formation of the cubic morphology.The octahedral morphology forms due to decreased mixing entropy and higher theoretical density compared to cubic particles.Our findings provide valuable insights into the crystal growth and morphology evolution mechanisms of high-entropy ceramics,contributing to the rational design of MTMCs with engineered crystal structures for diverse structural and functional applications.展开更多
The study of nuclear isomers can deepen our understanding of nuclear structure and astrophysics.In this work,we have performed the ab initio calculations of isomers in the N=49 isotones.With a chiral two-plus three-nu...The study of nuclear isomers can deepen our understanding of nuclear structure and astrophysics.In this work,we have performed the ab initio calculations of isomers in the N=49 isotones.With a chiral two-plus three-nucleon force,the valence-space effective Hamiltonian was derived using the ab initio many-body perturbation theory named Q-box folded diagrams.The effective operators of electromagnetic operators and β-decay were obtained using ■-box folded diagrams.With the effective Hamiltonian and operators,we studied the properties of the isomers,gaining a microscopic understanding of the single-particle behaviour of the isomers which we are interested in,showing the reliability of the ab initio calculations.展开更多
We present systematic relativistic many-body calculations of multipole transition properties for singly charged aluminum ion(AlⅡ)using a method that combines configuration interaction and many-body perturbation theor...We present systematic relativistic many-body calculations of multipole transition properties for singly charged aluminum ion(AlⅡ)using a method that combines configuration interaction and many-body perturbation theory(CI+MBPT).Our calculations cover the 103 lowest energy levels in AlⅡ.For five key low-lying states(3s21S0,3s3p3P0,3s3p3P1,3s3p3P2,and 3s3p1P1),we tabulate the transition wavelengths,reduced matrix elements,transition probabilities,and oscillator strengths for about 400 electric dipole(E1),magnetic dipole(M1),electric quadrupole(E2),and magnetic quadrupole(M2)transitions arising from these levels.Our calculated values agree well with available experimental data and other high-precision theoretical calculations,with typical deviations on the order of 1%.Notably,we report over 80% of these transition lines as previously unreported,significantly expanding the existing spectroscopic database for AlⅡ.These results can serve as a valuable reference resource for ongoing precision quantum metrology as well as astrophysical spectroscopy involving the AlⅡ ion.展开更多
Understanding the adsorption behavior of hydrogen on catalyst surfaces is critical to a comprehensive analysis of the kinetics of the hydrogen evolution reaction(HER).While strain engineering to enhance single hydroge...Understanding the adsorption behavior of hydrogen on catalyst surfaces is critical to a comprehensive analysis of the kinetics of the hydrogen evolution reaction(HER).While strain engineering to enhance single hydrogen adsorption on catalysts is well-established,the mechanisms governing multiple hydrogen adsorption under strain remain unclear.In this study,we systematically investigate different adsorption structures of multi-coverage hydrogen on the Pt(111)catalyst’s surface by first-principles calculations.We propose two dimensions,“ke”and“kε”,to quantitatively describe the relationship between adsorption energy and d-band center with stress under different coverage levels.The results indicate that the above two values undergo dynamic changes under different coverage levels,proving that there are differences in the effect of stress under different H coverage conditions.Especially under high coverage,stress has a significant enhancement effect on H adsorption.Although the enhancement effect slightly decreases when hydrogen molecules are produced,there is still a significant overall enhancement,effectively suppressing the weakening of the original Pt-H adsorption caused by high coverage.We conducted theoretical verification from the perspectives of changes in adsorption energy and d-band center using these two dimensions,confirming that stress can effectively alter the d-band structure of Pt,optimize its interaction with adsorbed hydrogen,and provide a theoretical basis for further improving the HER performance of Pt catalysts under high current density by applying external stress.展开更多
Turning performance represents a critical indicator of underwater vehicle maneuverability and correlates strongly with motion parameters such as rudder angle and propeller speed.This investigation examines the influen...Turning performance represents a critical indicator of underwater vehicle maneuverability and correlates strongly with motion parameters such as rudder angle and propeller speed.This investigation examines the influence of rudder angle and propeller speed on underwater vehicle turning performance.A fully coupled CFD-based hull-propellerrudder model enables high-accuracy computation of turning performance.The propeller modeling utilizes the body force method,while the overlapping mesh technique addresses the relative motion between rudder and hull.To optimize computational efficiency,an optimal Latin hypercube sampling method generates combinations of rudder angle and propeller speed,and a Kriging surrogate model substitutes for resource-intensive CFD simulations.Through application of the improved Sobol’s method,global sensitivity analysis quantitatively evaluates the contributions of rudder angle and propeller speed to turning performance.The analysis reveals that rudder angle substantially impacts turning performance,whereas propeller speed demonstrates comparatively limited influence.展开更多
Poor plasticity is an intrinsic disadvantage of magnesium(Mg)alloys,which limits their wide application at room temperature.Alloying is an accepted method to tune the plastic deformation mode and improve plasticity.Ho...Poor plasticity is an intrinsic disadvantage of magnesium(Mg)alloys,which limits their wide application at room temperature.Alloying is an accepted method to tune the plastic deformation mode and improve plasticity.However,the effect of solute atoms on the activation of different dislocations is still unclear and has rarely been systematically investigated in Mg alloys.In this work,the formulations of Peierls-Nabarro stresses(σp)for edge and screw dislocations along various slip planes in Mg-X(X=Y,Ca,Nd,Zn,Al and Sn)alloys are firstly derivate,as well as the calculation of the parameter K(energy factor)based on the first-principles calculation.The effects of solute atoms on the σp of various types of dislocations are systematically studied.The difference of the σp between the Mg-X alloy and pure Mg,i.e.,△σp,is determined,which is strongly influenced by the solute atoms.The negative △σp reflects the promotion of dislocation activation.The relationship between the △σp of different non-basal dislocations and elongation in eight Mg-X alloys is explored.The simultaneous improvement of the activation of the prismaticand the pyramidaldislocations is discovered,which can be achieved by specific alloying elements.Cooperative activation of the prismaticand the pyramidaldislocations owing to the reduced △σp is shown to closely correlate with the significant increased plasticity of the Mg alloys.These findings advance a novel perspective on alloy design strategies for Mg alloys with improved plasticity.展开更多
The intermetallic compounds with modulated electronic structure can provide more catalytically active sites and enhance electrocatalytic performance.In this study,the first-principles calculation method has been emplo...The intermetallic compounds with modulated electronic structure can provide more catalytically active sites and enhance electrocatalytic performance.In this study,the first-principles calculation method has been employed to investigate the potential of L10-NiM(M=Mn,Fe,Co,Cu,Zn,Mo)intermetallic compounds for electrocatalytic hydrogen evolution reaction(HER).Firstly,the L10-NiM present a homogenized charge transfer environment,where the Bader charge difference on the catalyst surface is below 0.13 e,significantly mitigating the locally strong adsorption of adsorbates in Ni.Additionally,the L10-NiM also fine-tunes the antibonding orbital interactions with adsorbates,facilitating both water dissociation and proton reduction.Furthermore,the L10-NiCu exhibits better HER electrocatalytic activity,with a water dissociation energy barrier of 0.49 eV and a Gibbs free energy of hydrogen adsorption of−0.524 eV.A scaling relationship analysis reveals a good linear correlation between HER activity and adsorption descriptors across the investigated L10-NiM intermetallic compounds,providing a theoretical foundation for the development of low-cost catalysts.展开更多
Dose calculation is the foundation of boron neutron capture therapy(BNCT).MagicDose,a dose calculation program for the BNCT treatment planning system,is developed based on the Monte Carlo method.First,the voxel phanto...Dose calculation is the foundation of boron neutron capture therapy(BNCT).MagicDose,a dose calculation program for the BNCT treatment planning system,is developed based on the Monte Carlo method.First,the voxel phantom of the modified Snyder head with 16 and 8 mm is constructed,and the results from MagicDose and MCNP are presented as two-dimensional coordinate points(Xn,Yn),comparing their relationship relative to the y=x linear function,while analyzing their respective calculation time.A modified Snyder head phantom with a tumor at three different spatial resolutions of 16,8,and 1 mm was constructed,and the depth-dose rate curves and spatial distribution maps are analyzed.Finally,the patients’head CT data were used for the application.The results indicate that the calculations from MagicDose and MCNP exhibit high consistency and demonstrate that MagicDose offers superior computational efficiency compared to MCNP,with improvements of approximately 31.24%and 28.65%at spatial resolutions of 16 and 8 mm,respectively.As the spatial resolution increased,the variability in the dose rate results decreased.The voxel size and number of threads are both inversely proportional to the calculation time.For the CT model,a voxel phantom with a spatial resolution of 1 mm×1 mm×1 mm is successfully constructed.The calculation results showed that the boron dose rate contribution significantly exceeds that of the other dose components,with the spatial distribution of the total relative biological effect dose rate clearly delineating the boundaries between the high-and low-dose rate regions.The above results verify the correctness of MagicDose,which also provides a reference for optimizing the design of voxel phantoms for clinical treatment.展开更多
To address the evaluation difficulty of hydrocarbon saturation in low resistivity reservoirs,an innovative method for calculating oil saturation is proposed using a nuclear magnetic resonance(NMR)-constrained triple-w...To address the evaluation difficulty of hydrocarbon saturation in low resistivity reservoirs,an innovative method for calculating oil saturation is proposed using a nuclear magnetic resonance(NMR)-constrained triple-water resistivity model.This model explicitly distinguishes three conductive water phases:movable water,capillary-bound water,and clay-bound water.Resistivity response equations are established for both water-saturated and hydrocarbon-bearing rocks.A cooperative inversion framework is proposed based on NMR and conventional logging data,incorporating high-precision NMRderived parameters as constraints during conventional logging inversion.The pore component volumes are obtained with the NMR T2 spectrum decomposition and served as a priori information for the nonlinear optimization of porosity exponents.This enables the construction of a pore component inversion algorithm using conventional logging data,thereby extending water saturation calculation applicability in complex reservoirs.The method incorporates data-driven optimization to effectively reduce the reliance on core-based calibration data(mercury injection,petrophysical experiments,cation exchange capacity(CEC)tests).Application in a Bohai Bay Basin low resistivity reservoir demonstrates superior saturation calculation accuracy compared to traditional models.The integration of multiphysics logging inversion with nonlinear optimization effectively enhances conductivity mechanism characterization in reservoirs with complex pore systems,providing a robust technical solution for quantitative evaluation of low resistivity oil reservoirs.展开更多
Investigating the detonation reaction zone structures of high explosives is significant for understanding detonation reaction mechanism.This study employed an integrated approach combining machine learning prediction,...Investigating the detonation reaction zone structures of high explosives is significant for understanding detonation reaction mechanism.This study employed an integrated approach combining machine learning prediction,theoretical calculation,and experimental characterization to determine the detonation reaction zone width of CL-20-based aluminized explosive.In this study,the detonation reaction zone refers to the reaction zone between the von Neumann(VN)peak and sonic point,which usually means the so-called detonation driving zone(DDZ).For the machine learning prediction,an ensemble model integrating Random Forest and Support Vector Regression was developed to predict the reaction zone width using a dataset of 19 publicly available samples.For the theoretical calculation,the Wood-Kirkwood(W-K)detonation theory model was utilized to implement numerical calculation of the reaction zone structures,incorporating chemical reaction kinetics to describe the detonation reaction progress.In experimental characterization,the Photon Doppler Velocimetry(PDV)was applied with LiF as the optical window to measure the particle velocity profile of detonation products and derive the reaction zone width.The results indicate that the reaction zone width values are 0.25 mm,0.28 mm,and 0.26 mm obtained from machine learning prediction,theoretical calculation,and experimental characterization,respectively.The corresponding velocities at the Chapman-Jouguet(CJ)point are 1,938 m/s,2,047 m/s,and 1,982 m/s,respectively.The maximum relative deviation in reaction zone width among three methods is approximately 7.7%,while that for CJ particle velocity is approximately 3.3%.These results from all three methods agree well within engineering error.This validates the effectiveness of integrating machine learning prediction,theoretical calculation and advanced experimental techniques for studying the detonation reaction zone structures of high explosives.This research provides insights into the detonation reaction mechanism and reaction zone characteristics of CL-20-based aluminized explosive.展开更多
Deformations in high fill foundations comprising soil–stone mixtures must be accurately predicted to ensure construction quality and long-term operational safety.However,existing computational and analytical methods ...Deformations in high fill foundations comprising soil–stone mixtures must be accurately predicted to ensure construction quality and long-term operational safety.However,existing computational and analytical methods inadequately capture their complex mechanical behavior.We conducted a series of triaxial tests on unsaturated soil samples collected from a high fill project site in northwestern China under three stress paths.The incremental nonlinear and elastoplastic constitutive models for unsaturated soils were modified,and a calculation method was developed for the vertical and lateral deformations of high fill foundations using the layered summation approach.The results indicate that for soil samples with the same mixing ratio(m)and compaction coefficient(n),the strength of the sample and its tendency to exhibit shear dilation increase with the net confining pressure or matric suction.Additionally,the stress–strain curve of the soil sample gradually changes from the strain-hardening type to the ideal elastoplastic type as the compaction coefficient increases.Moreover,the compaction coefficient is an important factor influencing the magnitude of yield stress and yield suction in soil samples,and the yield points of both are similar in shape to the loadingcollapse(LC)and suction increase(SI)yield lines obtained using the Barcelona model in the net mean stress-generalized shear stress(p-s)plane,respectively.The modified incremental nonlinear instantaneous model simultaneously considers the effects of the compaction coefficient,suction and mixing ratio,and the model parameter can be simplified to the tangential modulus expression in the Duncan-Chang model when the suction is zero.Furthermore,the modified elastoplastic constitutive model,which considers the effects of the net mean stress,suction and partial stress,can be simplified to the elastoplastic constitutive relationship of saturated soil when the suction is zero.The proposed deformation calculation method,based on the layered summation theory,is applicable to both elastic and elastoplastic foundation states,as confirmed through numerical simulations.Our work can be used as a reference for the calculation of foundation deformation in similar mixed material high fill projects.展开更多
The combinations of machine learning with ab initio methods have attracted much attention for their potential to resolve the accuracy-efficiency dilemma and facilitate calculations for large-scale systems.Recently,equ...The combinations of machine learning with ab initio methods have attracted much attention for their potential to resolve the accuracy-efficiency dilemma and facilitate calculations for large-scale systems.Recently,equivariant message passing neural networks(MPNNs)that explicitly incorporate symmetry constraints have demonstrated promise for interatomic potential and density functional theory(DFT)Hamiltonian predictions.However,the high-order tensors used to represent node and edge information are coupled through the Clebsch–Gordan tensor product,leading to steep increases in computational complexity and seriously hindering the performance of equivariant MPNNs.Here,we develop high-order tensor machine-learning Hamiltonian(Hot-Ham),an E(3)equivariant MPNN framework that combines two advanced technologies:local coordinate transformation and Gaunt tensor product to efficiently model DFT Hamiltonians.These two innovations significantly reduce the complexity of tensor products from O(L6)to O(L3)or O(L2log2L)for the max tensor order L,and enhance the performance of MPNNs.Benchmarks on several public datasets demonstrate its state-of-the-art accuracy with relatively few parameters,and applications to multilayer twisted moire systems,heterostructures,and allotropes showcase its generalization ability and high efficiency.Our Hot-Ham method provides a new perspective for developing efficient equivariant neural networks and would be a promising approach for investigating the electronic properties of large-scale materials systems.展开更多
Alkali metal-ion batteries,such as lithium-ion and sodium-ion batteries,have been widely recognized by both academia and industry for their high energy density,long cycle life,low self-discharge rate,and environmental...Alkali metal-ion batteries,such as lithium-ion and sodium-ion batteries,have been widely recognized by both academia and industry for their high energy density,long cycle life,low self-discharge rate,and environmental friendliness.Theoretical calculations are crucial in elucidating the energy storage mechanism of alkali metal-ion batteries and in designing the next generation of high-performance energy storage systems.This article reviews the application of theoretical calculations in alkali metal-ion batteries.These calculations are instrumental for experimental researchers in understanding the microscopic design of electrode materials,optimizing various interfaces and electrolyte structures,and clarifying ion and electron transport behaviors as well as electrochemical reaction mechanisms.Specifically,researchers typically calculate the reduction reactions,charge state changes,and structural changes of cathode materials to predict their electrochemical reactivity and optimize their performance and stability.Calculations and simulations of alkali metal batteries focus on ion transport dynamics within the electrolyte,including energy level distribution,solvation structure,and molecular dynamics simulations.Analyzing oxidation reactions,ion diffusion,and volume changes in various alkali metal-ion battery anode materials enables the screening and design of new anode materials with superior electrochemical properties.This review also discusses the challenges of applying theoretical calculations in alkali metal-ion batteries and provides an outlook for future research.Critical insights are offered for advancing research paradigms that integrate theoretical and experimental approaches in the development of energy storage electrode materials.展开更多
Quantum Key Distribution(QKD)ensures secure key establishment through the principles of quantum mechanics;however,its effectiveness in practice hinges on dependable identity verification via classical channels during ...Quantum Key Distribution(QKD)ensures secure key establishment through the principles of quantum mechanics;however,its effectiveness in practice hinges on dependable identity verification via classical channels during the post-processing phase.Current QKD implementations typically depend on pre-existing symmetric-key authentication,which suffers from limited scalability and complicated key management in extensive networks.Authentication methods utilizing post-quantum cryptography(PQC)signatures,based on complex mathematical assumptions,introduce extra and uncertain security dependencies,potentially compromising the security model integrity that QKD aims to maintain.This paper explores the application of hash-based signatures(HBS)for identity verification in the post-processing of QKD.HBS methods derive their security from cryptographic hash functions,which are integral to QKD protocols,allowing for scalable public-key-style authentication without the need for new computational assumptions.A detailed authentication framework is proposed,incorporating HBS-based verification into all essential phases of QKD post-processing,such as mutual certificate validation,basis sifting,parameter estimation,error correction verification,and privacy amplification.Security assessments indicate that the suggested framework maintains the security model integrity of QKD by relying cryptographically solely on the collision resistance of hash functions—without introducing new computational assumptions.At the system deployment level,it adheres to standard PKI trust assumptions which are necessary for public-key-style authentication and consistent with practical QKD network operations.Additionally,system-level evaluations affirm the scalability and practical applicability of HBS-based authentication,while also addressing the operational trade-offs among various HBS approaches in realistic QKD deployment contexts.展开更多
To enrich the existing knowledge of the thermodynamic properties of the Cu-Mg system,new complementary experimental and theoretical studies were carried out.The measurements of the change in the enthalpy of mixing of ...To enrich the existing knowledge of the thermodynamic properties of the Cu-Mg system,new complementary experimental and theoretical studies were carried out.The measurements of the change in the enthalpy of mixing of liquid Cu-Mg solutions were performed for Cu concentrations from 1 to 0.6 mole fractions and for several temperatures in the range from 1123 to 1402 K.It was found that the minimum change in the enthalpy of mixing of liquid solutions occurs for a copper concentration of approximately 0.4 mole fractions,and its value is slightly less than-7.5 kJ/mol.These measurements are the first in the range of Cu-rich solutions.The measurements of the change in the enthalpy of formation of intermetallic phases were carried out using liquid aluminum and liquid tin as a phase dissolution bath.It was found that the change in the enthalpy of formation of the Cu2Mg phase is slightly lower than that of the CuMg2 phase,and the measured values for the Al and Sn baths were:-11.6(±0.6)kJ/mol·at.and-10.7(±0.3)kJ/mol·at.,and-11.1(±0.4)kJ/mol·at.and-8.8(±0.2)kJ/mol·at.,respectively.The use of two distinct metallic baths enhances the accuracy and interpretability of the thermodynamic analysis.The theoretical studies included ab initio calculations of the heat of formation of solid phases Cu2Mg and CuMg2 and their heat capacities under constant pressure,in the temperature range from 300 to 800 K.Significant discrepancies were observed between the change in the enthalpies of phase formation obtained by different methods,as well as good agreement with the experimental data on heat capacities and those obtained from theoretical calculations.Based on experimental and theoretical data,the thermodynamic parameters of the phases were developed,and the phase diagram of the Cu-Mg system was calculated using the Calphad method.展开更多
The Schottky barrier height(SBH),which serves as a pivotal determinant of charge carrier injection efficiency in electronic devices,critically governs electrical behavior at metal/semiconductor interfaces.However,pron...The Schottky barrier height(SBH),which serves as a pivotal determinant of charge carrier injection efficiency in electronic devices,critically governs electrical behavior at metal/semiconductor interfaces.However,pronounced metal-induced gap states at metal contact interfaces induce Fermi-level pinning,which constrains the controllability of the SBH and ultimately degrades device performance.In this work,atomic models of metal/GaN interfaces with diverse metal terminations are constructed on the basis of first-principles calculations.The interfacial electrical properties,including binding energies,charge density differences,and SBHs,are systematically investigated.The computational SBH results are further validated using the experimental current-voltage characteristics of fabricated metal-GaN Schottky diodes.For n-type SBHs of different metals,these calculation results reveal a robust linear correlation with metal work functions,yielding a moderate pinning factor(S≈0.31)that aligns closely with experimental and empirical values.These findings establish a theoretical foundation for SBH engineering at metal/GaN interfaces and offer valuable insights for the design of high-performance GaN-based devices.展开更多
Underwater gas-liquid two-phase propulsion technology is an emerging propulsion method that offers high efficiency and unrestricted navigation speed.The integration of this technology into water ramjet engines can sig...Underwater gas-liquid two-phase propulsion technology is an emerging propulsion method that offers high efficiency and unrestricted navigation speed.The integration of this technology into water ramjet engines can significantly enhance propulsion efficiency and holds substantial potential for broad applications.However,forming a gas-liquid two-phase flow within the nozzle requires introducing a large amount of rammed seawater.At this time,there is a complex phase transition problem of combustion products in the combustion chamber,which makes the thermodynamic calculation for gas-liquid two-phase water ramjet engines particularly challenging.This paper proposes a thermodynamic calculation method for gas-liquid two-phase water ramjet engines,based on the energy equation for gas-liquid two-phase flow and traditional thermodynamic principles,enabling thermodynamic calculations under conditions of ultra-high water-fuel ratios.Additionally,ground ignition tests of the gas-liquid two-phase engine were conducted,yielding critical engine test parameters.The results demonstrate that the gas-liquid two-phase water ramjet engine achieves a high specific impulse,with a theoretical maximum specific impulse of up to 7000(N s)/kg.The multiphase flow effects significantly impact engine performance,with specific impulse losses reaching up to 25.86%.The error between the thrust and specific impulse in the ground test and the theoretical values is within 10%,validating the proposed thermodynamic calculation method as a reliable reference for further research on gas-liquid two-phase water ramjet engines.展开更多
Existing numerical methods for complex composites, such as multiscale simulation and neural network algorithms, face significant limitations. Multiscale techniques are often prohibitively expensive for large models, w...Existing numerical methods for complex composites, such as multiscale simulation and neural network algorithms, face significant limitations. Multiscale techniques are often prohibitively expensive for large models, while neural networks struggle to represent underlying microscopic material properties. To overcome these challenges, a meso-micro scale numerical method using a virtual node approach is developed in this study. A Wbraid/Al/Epoxy functional structural material is fabricated, and a representative periodic unit cell is identified based on its architecture. The complex structure is then discretized into nodes, and mechanical interactions are governed by pre-defined computation rules. This virtual node method is systematically compared against both multiscale simulation and a neural network algorithm, with validation provided through mechanical experiments. The results demonstrate that the nodal operation strategy significantly reduces computational resource requirements. By quantifying microscopic bonding with coefficients, explicit interface treatment is avoided, granting the method strong adaptability to lattice materials. The method can simulate extremely complex structures using parameters from simple tests and is suited for large systems. Compared to three-point bending experiments, errors for multiscale, virtual node, and neural network methods were 12.4%, 6.9%, and 34.5%, respectively. Under dynamic compression, the errors were 2.7%, 9.3%, and 15.43%. The virtual node method demonstrated superior accuracy under static conditions, enabling efficient prediction and auxiliary development of complex structural materials.展开更多
The electric double layer(EDL)at the electrochemical interface is crucial for ion transport,charge transfer,and surface reactions in aqueous rechargeable zinc batteries(ARZBs).However,Zn anodes routinely encounter per...The electric double layer(EDL)at the electrochemical interface is crucial for ion transport,charge transfer,and surface reactions in aqueous rechargeable zinc batteries(ARZBs).However,Zn anodes routinely encounter persistent dendrite growth and parasitic reactions,driven by the inhomogeneous charge distribution and water-dominated environment within the EDL.Compounding this,classical EDL theory,rooted in meanfield approximations,further fails to resolve molecular-scale interfacial dynamics under battery-operating conditions,limiting mechanistic insights.Herein,we established a multiscale theoretical calculation framework from single molecular characteristics to interfacial ion distribution,revealing the EDL’s structure and interactions between different ions and molecules,which helps us understand the parasitic processes in depth.Simulations demonstrate that water dipole and sulfate ion adsorption at the inner Helmholtz plane drives severe hydrogen evolution and by-product formation.Guided by these insights,we engineered a“water-poor and anion-expelled”EDL using 4,1’,6’-trichlorogalactosucrose(TGS)as an electrolyte additive.As a result,Zn||Zn symmetric cells with TGS exhibited stable cycling for over 4700 h under a current density of 1 mA cm−2,while NaV3O8·1.5H2O-based full cells kept 90.4%of the initial specific capacity after 800 cycles at 5 A g−1.This work highlights the power of multiscale theoretical frameworks to unravel EDL complexities and guide high-performance ARZB design through integrated theory-experiment approaches.展开更多
The adsorptive denitrification performance of MIL-101(Cr)-0.5 toward pyridine,aniline or quinoline in simulated fuels with basic nitrogen content of 1732μg/g was evaluated separately.Furthermore,the effects of adsorp...The adsorptive denitrification performance of MIL-101(Cr)-0.5 toward pyridine,aniline or quinoline in simulated fuels with basic nitrogen content of 1732μg/g was evaluated separately.Furthermore,the effects of adsorption temperature,adsorption time and adsorbent dosage on their adsorptive denitrification performance were systematically investigated.The experimental results demonstrated that under a fixed adsorbent dosage of 0.05 g and a simulated fuel volume of 10 mL,the optimal removal efficiency for aniline was achieved at 30℃ within 30 min,whereas higher temperatures and longer times(40℃and 40 min)were required for effective removal of pyridine and quinoline.Density Functional Theory(DFT)calculations were conducted via Materials Studio(MS)software to study the adsorptive denitrification mechanism of MIL-101(Cr)toward these three basic nitrogen-containing compounds.The simulation calculation results revealed that the interaction between pyridine and MIL-101(Cr)primarily involved coordination adsorption.In contrast,the interaction between aniline or quinoline and MIL-101(Cr)proceeded mainly through coordination,with additional contributions fromπ-complexation and hydrogen bonding.The overall adsorption strength order is pyridine>aniline>quinoline.During the adsorption process,pyridine and quinoline transfer electrons to the MIL-101(Cr)surface through the H→C→N→Cr3+pathway,while aniline transfers electrons to the MIL-101(Cr)surface through various pathways,including N→Cr3+,N→C→Cr3+and N→H→O.Furthermore,adsorption kinetics studies indicated that the adsorption processes for all three basic nitrogen-containing compounds followed the quasi second order kinetic models.The experimental results on the effect of benzene on the adsorptive denitrification performance of MIL-101(Cr)-0.5 demonstrated that benzene exerted a more significant impact on the adsorption of aniline and quinoline.Finally,the adsorbent was regenerated using ethanol washing.It was found that MIL-101(Cr)-0.5 retained stable denitrification performance after two regeneration cycles.展开更多
基金supported by the National Natural Science Foun-dation of China(Nos.U24A2026 and52271033)the Natural Science Foundation of Jiangsu Province,China(No.BK20221493).
摘要Multi-component transition metal carbides(MTMCs)have garnered significant attention for their out-standing high-temperature stability and versatile properties,which make them ideal candidates for a wide range of industrial applications.However,the underlying mechanisms governing the crystal growth and morphological evolution of MTMCs remain poorly understood,hindering the design of materials with tailored characteristics.In this paper,we employ an in-situ liquid-solid reaction method to synthesize(HfTaZrNbTi)C MTMC powders and explore their crystal growth and morphology evolution.The synthesized(TiZrHfNbTa)C powders exhibit two distinct morphologies:cubic,primarily composed of Ti,Hf,Ta,and Zr with a small amount of Nb,and octahedral,rich in Ti and Ta with minor amounts of Hf,Nb,and Zr.First-principles calculations show that the surface energy of the(100)plane is lower than the(111)plane,leading to the formation of the cubic morphology.The octahedral morphology forms due to decreased mixing entropy and higher theoretical density compared to cubic particles.Our findings provide valuable insights into the crystal growth and morphology evolution mechanisms of high-entropy ceramics,contributing to the rational design of MTMCs with engineered crystal structures for diverse structural and functional applications.
基金supported by the National Key R&D Program of China under Grant Nos.2024YFA1610900 and 2023YFA1606401the National Natural Science Foundation of China under Grant Nos.12335007 and 12035001。
摘要The study of nuclear isomers can deepen our understanding of nuclear structure and astrophysics.In this work,we have performed the ab initio calculations of isomers in the N=49 isotones.With a chiral two-plus three-nucleon force,the valence-space effective Hamiltonian was derived using the ab initio many-body perturbation theory named Q-box folded diagrams.The effective operators of electromagnetic operators and β-decay were obtained using ■-box folded diagrams.With the effective Hamiltonian and operators,we studied the properties of the isomers,gaining a microscopic understanding of the single-particle behaviour of the isomers which we are interested in,showing the reliability of the ab initio calculations.
基金supported by the Science and Technology Department of Hubei Province(Grant No.2025AFA004)the Science and Technology Development Fund(FDCT),Macao SAR(Grant Nos.0024/2024/RIB1,0136/2024/RIA2,and 0004/2025/RDP)+2 种基金Shanghai Municipal Science and Technology Major Project(Grant No.2019SHZDZX01)the Department of Science and Technology of Guangdong Province(Grant No.2024QN11C352)the National Natural Science Foundation of China(Grant No.12404421)。
摘要We present systematic relativistic many-body calculations of multipole transition properties for singly charged aluminum ion(AlⅡ)using a method that combines configuration interaction and many-body perturbation theory(CI+MBPT).Our calculations cover the 103 lowest energy levels in AlⅡ.For five key low-lying states(3s21S0,3s3p3P0,3s3p3P1,3s3p3P2,and 3s3p1P1),we tabulate the transition wavelengths,reduced matrix elements,transition probabilities,and oscillator strengths for about 400 electric dipole(E1),magnetic dipole(M1),electric quadrupole(E2),and magnetic quadrupole(M2)transitions arising from these levels.Our calculated values agree well with available experimental data and other high-precision theoretical calculations,with typical deviations on the order of 1%.Notably,we report over 80% of these transition lines as previously unreported,significantly expanding the existing spectroscopic database for AlⅡ.These results can serve as a valuable reference resource for ongoing precision quantum metrology as well as astrophysical spectroscopy involving the AlⅡ ion.
基金supported by the Science and Technology Cooperation Special Project of Shijiazhuang(Grant No.SJZZXA24004)the National Natural Science Foundation of China(Grant No.12172118)the Science and Technology Project of Hebei Education Department(Grant No.JZX2023004).
摘要Understanding the adsorption behavior of hydrogen on catalyst surfaces is critical to a comprehensive analysis of the kinetics of the hydrogen evolution reaction(HER).While strain engineering to enhance single hydrogen adsorption on catalysts is well-established,the mechanisms governing multiple hydrogen adsorption under strain remain unclear.In this study,we systematically investigate different adsorption structures of multi-coverage hydrogen on the Pt(111)catalyst’s surface by first-principles calculations.We propose two dimensions,“ke”and“kε”,to quantitatively describe the relationship between adsorption energy and d-band center with stress under different coverage levels.The results indicate that the above two values undergo dynamic changes under different coverage levels,proving that there are differences in the effect of stress under different H coverage conditions.Especially under high coverage,stress has a significant enhancement effect on H adsorption.Although the enhancement effect slightly decreases when hydrogen molecules are produced,there is still a significant overall enhancement,effectively suppressing the weakening of the original Pt-H adsorption caused by high coverage.We conducted theoretical verification from the perspectives of changes in adsorption energy and d-band center using these two dimensions,confirming that stress can effectively alter the d-band structure of Pt,optimize its interaction with adsorbed hydrogen,and provide a theoretical basis for further improving the HER performance of Pt catalysts under high current density by applying external stress.
基金financially supported by the National Natural Science Foundation of China(Grant No.52372356)Zhenjiang City Science and Technology Program Project(Grant No.JC2024015)the“Qinglan Project”of Jiangsu Higher Education.
摘要Turning performance represents a critical indicator of underwater vehicle maneuverability and correlates strongly with motion parameters such as rudder angle and propeller speed.This investigation examines the influence of rudder angle and propeller speed on underwater vehicle turning performance.A fully coupled CFD-based hull-propellerrudder model enables high-accuracy computation of turning performance.The propeller modeling utilizes the body force method,while the overlapping mesh technique addresses the relative motion between rudder and hull.To optimize computational efficiency,an optimal Latin hypercube sampling method generates combinations of rudder angle and propeller speed,and a Kriging surrogate model substitutes for resource-intensive CFD simulations.Through application of the improved Sobol’s method,global sensitivity analysis quantitatively evaluates the contributions of rudder angle and propeller speed to turning performance.The analysis reveals that rudder angle substantially impacts turning performance,whereas propeller speed demonstrates comparatively limited influence.
基金supported by the National Natural Science Foundation of China(Grant Nos.52471012,52425101,and 51931003)the support from Young Elite Scientists Sponsorship Program by CAST(No.2022QNRC001)The Natural Science Foundation of Jiangsu Province(No.BK20211198).
摘要Poor plasticity is an intrinsic disadvantage of magnesium(Mg)alloys,which limits their wide application at room temperature.Alloying is an accepted method to tune the plastic deformation mode and improve plasticity.However,the effect of solute atoms on the activation of different dislocations is still unclear and has rarely been systematically investigated in Mg alloys.In this work,the formulations of Peierls-Nabarro stresses(σp)for edge and screw dislocations along various slip planes in Mg-X(X=Y,Ca,Nd,Zn,Al and Sn)alloys are firstly derivate,as well as the calculation of the parameter K(energy factor)based on the first-principles calculation.The effects of solute atoms on the σp of various types of dislocations are systematically studied.The difference of the σp between the Mg-X alloy and pure Mg,i.e.,△σp,is determined,which is strongly influenced by the solute atoms.The negative △σp reflects the promotion of dislocation activation.The relationship between the △σp of different non-basal dislocations and elongation in eight Mg-X alloys is explored.The simultaneous improvement of the activation of the prismaticand the pyramidaldislocations is discovered,which can be achieved by specific alloying elements.Cooperative activation of the prismaticand the pyramidaldislocations owing to the reduced △σp is shown to closely correlate with the significant increased plasticity of the Mg alloys.These findings advance a novel perspective on alloy design strategies for Mg alloys with improved plasticity.
基金financially supported by the National Natural Science Foundation of China(Grant No.52371179)the China Postdoctoral Science Foundation(Grant No.2023M732392)+2 种基金the Basic Research Project for Universities of Education Department of Liaoning Province(Grant No.LJ212510147002)the Liaoning Province Special Program for Guiding and Supporting Municipal Science and Technology Development(Grant No.20240337)Liaoning Provincial Natural Science Foundation Joint Funding Program(Grant No.2025-Z0010).
摘要The intermetallic compounds with modulated electronic structure can provide more catalytically active sites and enhance electrocatalytic performance.In this study,the first-principles calculation method has been employed to investigate the potential of L10-NiM(M=Mn,Fe,Co,Cu,Zn,Mo)intermetallic compounds for electrocatalytic hydrogen evolution reaction(HER).Firstly,the L10-NiM present a homogenized charge transfer environment,where the Bader charge difference on the catalyst surface is below 0.13 e,significantly mitigating the locally strong adsorption of adsorbates in Ni.Additionally,the L10-NiM also fine-tunes the antibonding orbital interactions with adsorbates,facilitating both water dissociation and proton reduction.Furthermore,the L10-NiCu exhibits better HER electrocatalytic activity,with a water dissociation energy barrier of 0.49 eV and a Gibbs free energy of hydrogen adsorption of−0.524 eV.A scaling relationship analysis reveals a good linear correlation between HER activity and adsorption descriptors across the investigated L10-NiM intermetallic compounds,providing a theoretical foundation for the development of low-cost catalysts.
基金supported by the National Natural Science Foundation of China(Nos.12475174 and U2267207)the YueLuShan Center Industrial Innovation(No.2024YCII0108)+2 种基金the Project of State Key Laboratory of Radiation Medicine and Protection,Soochow University(No.GZK12023031)the Science and Technology Innovation Project of Hengyang(No.202250045336)the Graduate Research Innovation Project of Hunan Province(No.QL20230228).
摘要Dose calculation is the foundation of boron neutron capture therapy(BNCT).MagicDose,a dose calculation program for the BNCT treatment planning system,is developed based on the Monte Carlo method.First,the voxel phantom of the modified Snyder head with 16 and 8 mm is constructed,and the results from MagicDose and MCNP are presented as two-dimensional coordinate points(Xn,Yn),comparing their relationship relative to the y=x linear function,while analyzing their respective calculation time.A modified Snyder head phantom with a tumor at three different spatial resolutions of 16,8,and 1 mm was constructed,and the depth-dose rate curves and spatial distribution maps are analyzed.Finally,the patients’head CT data were used for the application.The results indicate that the calculations from MagicDose and MCNP exhibit high consistency and demonstrate that MagicDose offers superior computational efficiency compared to MCNP,with improvements of approximately 31.24%and 28.65%at spatial resolutions of 16 and 8 mm,respectively.As the spatial resolution increased,the variability in the dose rate results decreased.The voxel size and number of threads are both inversely proportional to the calculation time.For the CT model,a voxel phantom with a spatial resolution of 1 mm×1 mm×1 mm is successfully constructed.The calculation results showed that the boron dose rate contribution significantly exceeds that of the other dose components,with the spatial distribution of the total relative biological effect dose rate clearly delineating the boundaries between the high-and low-dose rate regions.The above results verify the correctness of MagicDose,which also provides a reference for optimizing the design of voxel phantoms for clinical treatment.
基金supported by the National Natural Science Foundation of China(Grant No.42374152)the Natural Science Foundation of Shandong Province(Grant No.ZR2020MD050)。
摘要To address the evaluation difficulty of hydrocarbon saturation in low resistivity reservoirs,an innovative method for calculating oil saturation is proposed using a nuclear magnetic resonance(NMR)-constrained triple-water resistivity model.This model explicitly distinguishes three conductive water phases:movable water,capillary-bound water,and clay-bound water.Resistivity response equations are established for both water-saturated and hydrocarbon-bearing rocks.A cooperative inversion framework is proposed based on NMR and conventional logging data,incorporating high-precision NMRderived parameters as constraints during conventional logging inversion.The pore component volumes are obtained with the NMR T2 spectrum decomposition and served as a priori information for the nonlinear optimization of porosity exponents.This enables the construction of a pore component inversion algorithm using conventional logging data,thereby extending water saturation calculation applicability in complex reservoirs.The method incorporates data-driven optimization to effectively reduce the reliance on core-based calibration data(mercury injection,petrophysical experiments,cation exchange capacity(CEC)tests).Application in a Bohai Bay Basin low resistivity reservoir demonstrates superior saturation calculation accuracy compared to traditional models.The integration of multiphysics logging inversion with nonlinear optimization effectively enhances conductivity mechanism characterization in reservoirs with complex pore systems,providing a robust technical solution for quantitative evaluation of low resistivity oil reservoirs.
摘要Investigating the detonation reaction zone structures of high explosives is significant for understanding detonation reaction mechanism.This study employed an integrated approach combining machine learning prediction,theoretical calculation,and experimental characterization to determine the detonation reaction zone width of CL-20-based aluminized explosive.In this study,the detonation reaction zone refers to the reaction zone between the von Neumann(VN)peak and sonic point,which usually means the so-called detonation driving zone(DDZ).For the machine learning prediction,an ensemble model integrating Random Forest and Support Vector Regression was developed to predict the reaction zone width using a dataset of 19 publicly available samples.For the theoretical calculation,the Wood-Kirkwood(W-K)detonation theory model was utilized to implement numerical calculation of the reaction zone structures,incorporating chemical reaction kinetics to describe the detonation reaction progress.In experimental characterization,the Photon Doppler Velocimetry(PDV)was applied with LiF as the optical window to measure the particle velocity profile of detonation products and derive the reaction zone width.The results indicate that the reaction zone width values are 0.25 mm,0.28 mm,and 0.26 mm obtained from machine learning prediction,theoretical calculation,and experimental characterization,respectively.The corresponding velocities at the Chapman-Jouguet(CJ)point are 1,938 m/s,2,047 m/s,and 1,982 m/s,respectively.The maximum relative deviation in reaction zone width among three methods is approximately 7.7%,while that for CJ particle velocity is approximately 3.3%.These results from all three methods agree well within engineering error.This validates the effectiveness of integrating machine learning prediction,theoretical calculation and advanced experimental techniques for studying the detonation reaction zone structures of high explosives.This research provides insights into the detonation reaction mechanism and reaction zone characteristics of CL-20-based aluminized explosive.
基金funded by the National Natural Science Foundation of China(Grant Nos.52368049,52168051,and 42462028)Lanzhou Young Scientific and Technological Talents Innovation Project(Grant Nos.2023-QN-27 and 2023-QN-52)Major Project of the Joint Scientific Research Fund of Gansu Province(Grant No.25JRRL007)。
摘要Deformations in high fill foundations comprising soil–stone mixtures must be accurately predicted to ensure construction quality and long-term operational safety.However,existing computational and analytical methods inadequately capture their complex mechanical behavior.We conducted a series of triaxial tests on unsaturated soil samples collected from a high fill project site in northwestern China under three stress paths.The incremental nonlinear and elastoplastic constitutive models for unsaturated soils were modified,and a calculation method was developed for the vertical and lateral deformations of high fill foundations using the layered summation approach.The results indicate that for soil samples with the same mixing ratio(m)and compaction coefficient(n),the strength of the sample and its tendency to exhibit shear dilation increase with the net confining pressure or matric suction.Additionally,the stress–strain curve of the soil sample gradually changes from the strain-hardening type to the ideal elastoplastic type as the compaction coefficient increases.Moreover,the compaction coefficient is an important factor influencing the magnitude of yield stress and yield suction in soil samples,and the yield points of both are similar in shape to the loadingcollapse(LC)and suction increase(SI)yield lines obtained using the Barcelona model in the net mean stress-generalized shear stress(p-s)plane,respectively.The modified incremental nonlinear instantaneous model simultaneously considers the effects of the compaction coefficient,suction and mixing ratio,and the model parameter can be simplified to the tangential modulus expression in the Duncan-Chang model when the suction is zero.Furthermore,the modified elastoplastic constitutive model,which considers the effects of the net mean stress,suction and partial stress,can be simplified to the elastoplastic constitutive relationship of saturated soil when the suction is zero.The proposed deformation calculation method,based on the layered summation theory,is applicable to both elastic and elastoplastic foundation states,as confirmed through numerical simulations.Our work can be used as a reference for the calculation of foundation deformation in similar mixed material high fill projects.
基金supported by the National Natural Science Foundation of China(Grant Nos.12125404,T2495231,and 123B2049)the Basic Research Program of Jiangsu(Grant Nos.BK20233001,BK20241253,and BK20253009)+3 种基金the Jiangsu Funding Program for Excellent Postdoctoral Talent(Grant Nos.2024ZB002 and 2024ZB075)the Postdoctoral Fellowship Program of CPSF(Grant No.GZC20240695)the AI&AI for Science program of Nanjing University,the Artificial Intelligence and Quantum physics(AIQ)program of Nanjing Universitythe Fundamental Research Funds for the Central Universities。
摘要The combinations of machine learning with ab initio methods have attracted much attention for their potential to resolve the accuracy-efficiency dilemma and facilitate calculations for large-scale systems.Recently,equivariant message passing neural networks(MPNNs)that explicitly incorporate symmetry constraints have demonstrated promise for interatomic potential and density functional theory(DFT)Hamiltonian predictions.However,the high-order tensors used to represent node and edge information are coupled through the Clebsch–Gordan tensor product,leading to steep increases in computational complexity and seriously hindering the performance of equivariant MPNNs.Here,we develop high-order tensor machine-learning Hamiltonian(Hot-Ham),an E(3)equivariant MPNN framework that combines two advanced technologies:local coordinate transformation and Gaunt tensor product to efficiently model DFT Hamiltonians.These two innovations significantly reduce the complexity of tensor products from O(L6)to O(L3)or O(L2log2L)for the max tensor order L,and enhance the performance of MPNNs.Benchmarks on several public datasets demonstrate its state-of-the-art accuracy with relatively few parameters,and applications to multilayer twisted moire systems,heterostructures,and allotropes showcase its generalization ability and high efficiency.Our Hot-Ham method provides a new perspective for developing efficient equivariant neural networks and would be a promising approach for investigating the electronic properties of large-scale materials systems.
基金supported by National Natural Science Foundation of China(No.52250710161)Shaanxi Province"two chains"integration key project(No.2024ZG-JBGS-008)。
摘要Alkali metal-ion batteries,such as lithium-ion and sodium-ion batteries,have been widely recognized by both academia and industry for their high energy density,long cycle life,low self-discharge rate,and environmental friendliness.Theoretical calculations are crucial in elucidating the energy storage mechanism of alkali metal-ion batteries and in designing the next generation of high-performance energy storage systems.This article reviews the application of theoretical calculations in alkali metal-ion batteries.These calculations are instrumental for experimental researchers in understanding the microscopic design of electrode materials,optimizing various interfaces and electrolyte structures,and clarifying ion and electron transport behaviors as well as electrochemical reaction mechanisms.Specifically,researchers typically calculate the reduction reactions,charge state changes,and structural changes of cathode materials to predict their electrochemical reactivity and optimize their performance and stability.Calculations and simulations of alkali metal batteries focus on ion transport dynamics within the electrolyte,including energy level distribution,solvation structure,and molecular dynamics simulations.Analyzing oxidation reactions,ion diffusion,and volume changes in various alkali metal-ion battery anode materials enables the screening and design of new anode materials with superior electrochemical properties.This review also discusses the challenges of applying theoretical calculations in alkali metal-ion batteries and provides an outlook for future research.Critical insights are offered for advancing research paradigms that integrate theoretical and experimental approaches in the development of energy storage electrode materials.
基金supported by the Quantum Science and Technology-National Science and Technology Major Project(QNMP)under Grant Nos.2021ZD0301301,2021ZD0300705the Yunnan Provincial Key Area Science and Technology Program Project under Grant No.202502AD080015.
摘要Quantum Key Distribution(QKD)ensures secure key establishment through the principles of quantum mechanics;however,its effectiveness in practice hinges on dependable identity verification via classical channels during the post-processing phase.Current QKD implementations typically depend on pre-existing symmetric-key authentication,which suffers from limited scalability and complicated key management in extensive networks.Authentication methods utilizing post-quantum cryptography(PQC)signatures,based on complex mathematical assumptions,introduce extra and uncertain security dependencies,potentially compromising the security model integrity that QKD aims to maintain.This paper explores the application of hash-based signatures(HBS)for identity verification in the post-processing of QKD.HBS methods derive their security from cryptographic hash functions,which are integral to QKD protocols,allowing for scalable public-key-style authentication without the need for new computational assumptions.A detailed authentication framework is proposed,incorporating HBS-based verification into all essential phases of QKD post-processing,such as mutual certificate validation,basis sifting,parameter estimation,error correction verification,and privacy amplification.Security assessments indicate that the suggested framework maintains the security model integrity of QKD by relying cryptographically solely on the collision resistance of hash functions—without introducing new computational assumptions.At the system deployment level,it adheres to standard PKI trust assumptions which are necessary for public-key-style authentication and consistent with practical QKD network operations.Additionally,system-level evaluations affirm the scalability and practical applicability of HBS-based authentication,while also addressing the operational trade-offs among various HBS approaches in realistic QKD deployment contexts.
基金supported by the National Science Centre,Poland,for funding project no.2021/43/O/ST8/01291 entitled"Thermodynamic properties and structure of Cu-Mg-Ti and Ag-Mg-Ti alloys and their potential to interact with hydrogen"in the years 2022-2027supported by Science and Technology Council R.O.C.,under project number 114-2221-E-259-009.
摘要To enrich the existing knowledge of the thermodynamic properties of the Cu-Mg system,new complementary experimental and theoretical studies were carried out.The measurements of the change in the enthalpy of mixing of liquid Cu-Mg solutions were performed for Cu concentrations from 1 to 0.6 mole fractions and for several temperatures in the range from 1123 to 1402 K.It was found that the minimum change in the enthalpy of mixing of liquid solutions occurs for a copper concentration of approximately 0.4 mole fractions,and its value is slightly less than-7.5 kJ/mol.These measurements are the first in the range of Cu-rich solutions.The measurements of the change in the enthalpy of formation of intermetallic phases were carried out using liquid aluminum and liquid tin as a phase dissolution bath.It was found that the change in the enthalpy of formation of the Cu2Mg phase is slightly lower than that of the CuMg2 phase,and the measured values for the Al and Sn baths were:-11.6(±0.6)kJ/mol·at.and-10.7(±0.3)kJ/mol·at.,and-11.1(±0.4)kJ/mol·at.and-8.8(±0.2)kJ/mol·at.,respectively.The use of two distinct metallic baths enhances the accuracy and interpretability of the thermodynamic analysis.The theoretical studies included ab initio calculations of the heat of formation of solid phases Cu2Mg and CuMg2 and their heat capacities under constant pressure,in the temperature range from 300 to 800 K.Significant discrepancies were observed between the change in the enthalpies of phase formation obtained by different methods,as well as good agreement with the experimental data on heat capacities and those obtained from theoretical calculations.Based on experimental and theoretical data,the thermodynamic parameters of the phases were developed,and the phase diagram of the Cu-Mg system was calculated using the Calphad method.
基金supported by the National Natural Science Foundation of China(Grants 52302046,62474001,51727901 and L2424216)Guangdong Basic and Applied Basic Research Foundation(Grants 2022A1515110149 and 2024A1515011764)+4 种基金the Basic Research Program of Jiangsu(Grant BK20230268)the Knowledge Innovation Program of Wuhan-Shuguang Project(Grant 2023010201020262)the Universities Collaborative Innovation Project of Anhui Province(Grant GXXT-2023-001)supported by Hubei Province“Chutian Talent Plan”Science and Technology Innovation Team Projectthe support from the Anhui Province Engineering Research Center for Advanced Power Electronics and Energy Conversion(APEEC)。
摘要The Schottky barrier height(SBH),which serves as a pivotal determinant of charge carrier injection efficiency in electronic devices,critically governs electrical behavior at metal/semiconductor interfaces.However,pronounced metal-induced gap states at metal contact interfaces induce Fermi-level pinning,which constrains the controllability of the SBH and ultimately degrades device performance.In this work,atomic models of metal/GaN interfaces with diverse metal terminations are constructed on the basis of first-principles calculations.The interfacial electrical properties,including binding energies,charge density differences,and SBHs,are systematically investigated.The computational SBH results are further validated using the experimental current-voltage characteristics of fabricated metal-GaN Schottky diodes.For n-type SBHs of different metals,these calculation results reveal a robust linear correlation with metal work functions,yielding a moderate pinning factor(S≈0.31)that aligns closely with experimental and empirical values.These findings establish a theoretical foundation for SBH engineering at metal/GaN interfaces and offer valuable insights for the design of high-performance GaN-based devices.
基金supported by the Stable Support Fund forBasic Disciplines,China(No.3072024WD0201)。
摘要Underwater gas-liquid two-phase propulsion technology is an emerging propulsion method that offers high efficiency and unrestricted navigation speed.The integration of this technology into water ramjet engines can significantly enhance propulsion efficiency and holds substantial potential for broad applications.However,forming a gas-liquid two-phase flow within the nozzle requires introducing a large amount of rammed seawater.At this time,there is a complex phase transition problem of combustion products in the combustion chamber,which makes the thermodynamic calculation for gas-liquid two-phase water ramjet engines particularly challenging.This paper proposes a thermodynamic calculation method for gas-liquid two-phase water ramjet engines,based on the energy equation for gas-liquid two-phase flow and traditional thermodynamic principles,enabling thermodynamic calculations under conditions of ultra-high water-fuel ratios.Additionally,ground ignition tests of the gas-liquid two-phase engine were conducted,yielding critical engine test parameters.The results demonstrate that the gas-liquid two-phase water ramjet engine achieves a high specific impulse,with a theoretical maximum specific impulse of up to 7000(N s)/kg.The multiphase flow effects significantly impact engine performance,with specific impulse losses reaching up to 25.86%.The error between the thrust and specific impulse in the ground test and the theoretical values is within 10%,validating the proposed thermodynamic calculation method as a reliable reference for further research on gas-liquid two-phase water ramjet engines.
摘要Existing numerical methods for complex composites, such as multiscale simulation and neural network algorithms, face significant limitations. Multiscale techniques are often prohibitively expensive for large models, while neural networks struggle to represent underlying microscopic material properties. To overcome these challenges, a meso-micro scale numerical method using a virtual node approach is developed in this study. A Wbraid/Al/Epoxy functional structural material is fabricated, and a representative periodic unit cell is identified based on its architecture. The complex structure is then discretized into nodes, and mechanical interactions are governed by pre-defined computation rules. This virtual node method is systematically compared against both multiscale simulation and a neural network algorithm, with validation provided through mechanical experiments. The results demonstrate that the nodal operation strategy significantly reduces computational resource requirements. By quantifying microscopic bonding with coefficients, explicit interface treatment is avoided, granting the method strong adaptability to lattice materials. The method can simulate extremely complex structures using parameters from simple tests and is suited for large systems. Compared to three-point bending experiments, errors for multiscale, virtual node, and neural network methods were 12.4%, 6.9%, and 34.5%, respectively. Under dynamic compression, the errors were 2.7%, 9.3%, and 15.43%. The virtual node method demonstrated superior accuracy under static conditions, enabling efficient prediction and auxiliary development of complex structural materials.
基金supported by the National Natural Science Foundation of China(52471240)the Natural Science Foundation of Zhejiang Province(LZ23B030003)+2 种基金the Fundamental Research Funds for the Central Universities(226-2024-00075)support from the Engineering and Physical Sciences Research Council(EPSRC,UK)RiR grant-RIR18221018-1EU COST CA23155。
摘要The electric double layer(EDL)at the electrochemical interface is crucial for ion transport,charge transfer,and surface reactions in aqueous rechargeable zinc batteries(ARZBs).However,Zn anodes routinely encounter persistent dendrite growth and parasitic reactions,driven by the inhomogeneous charge distribution and water-dominated environment within the EDL.Compounding this,classical EDL theory,rooted in meanfield approximations,further fails to resolve molecular-scale interfacial dynamics under battery-operating conditions,limiting mechanistic insights.Herein,we established a multiscale theoretical calculation framework from single molecular characteristics to interfacial ion distribution,revealing the EDL’s structure and interactions between different ions and molecules,which helps us understand the parasitic processes in depth.Simulations demonstrate that water dipole and sulfate ion adsorption at the inner Helmholtz plane drives severe hydrogen evolution and by-product formation.Guided by these insights,we engineered a“water-poor and anion-expelled”EDL using 4,1’,6’-trichlorogalactosucrose(TGS)as an electrolyte additive.As a result,Zn||Zn symmetric cells with TGS exhibited stable cycling for over 4700 h under a current density of 1 mA cm−2,while NaV3O8·1.5H2O-based full cells kept 90.4%of the initial specific capacity after 800 cycles at 5 A g−1.This work highlights the power of multiscale theoretical frameworks to unravel EDL complexities and guide high-performance ARZB design through integrated theory-experiment approaches.
基金Supported by Basic Scientific Research Project of the Liaoning Provincial Department of Education Has Been Unveiled to Facilitate Local Project Funding (JYTMS20230835)Enhanced Scientific Research Project Funded by the Departmentof Higher Education in Liaoning Province (General program)(JYTMS20230852)。
摘要The adsorptive denitrification performance of MIL-101(Cr)-0.5 toward pyridine,aniline or quinoline in simulated fuels with basic nitrogen content of 1732μg/g was evaluated separately.Furthermore,the effects of adsorption temperature,adsorption time and adsorbent dosage on their adsorptive denitrification performance were systematically investigated.The experimental results demonstrated that under a fixed adsorbent dosage of 0.05 g and a simulated fuel volume of 10 mL,the optimal removal efficiency for aniline was achieved at 30℃ within 30 min,whereas higher temperatures and longer times(40℃and 40 min)were required for effective removal of pyridine and quinoline.Density Functional Theory(DFT)calculations were conducted via Materials Studio(MS)software to study the adsorptive denitrification mechanism of MIL-101(Cr)toward these three basic nitrogen-containing compounds.The simulation calculation results revealed that the interaction between pyridine and MIL-101(Cr)primarily involved coordination adsorption.In contrast,the interaction between aniline or quinoline and MIL-101(Cr)proceeded mainly through coordination,with additional contributions fromπ-complexation and hydrogen bonding.The overall adsorption strength order is pyridine>aniline>quinoline.During the adsorption process,pyridine and quinoline transfer electrons to the MIL-101(Cr)surface through the H→C→N→Cr3+pathway,while aniline transfers electrons to the MIL-101(Cr)surface through various pathways,including N→Cr3+,N→C→Cr3+and N→H→O.Furthermore,adsorption kinetics studies indicated that the adsorption processes for all three basic nitrogen-containing compounds followed the quasi second order kinetic models.The experimental results on the effect of benzene on the adsorptive denitrification performance of MIL-101(Cr)-0.5 demonstrated that benzene exerted a more significant impact on the adsorption of aniline and quinoline.Finally,the adsorbent was regenerated using ethanol washing.It was found that MIL-101(Cr)-0.5 retained stable denitrification performance after two regeneration cycles.