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Synergistic effect of Co/Ga elements for enhancing magnetic performance of Nd-Fe-B sintered magnets by efficiently diffusing Pr-Tb-Co-Ga alloys 认领 引用 被引量：1
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作者 Ze Duan Xian Wu +7 位作者 Lei Wang Dongmin Zhang Chao Wang Mengchen Ge Yikun Fang Dong Zhou Minggang Zhu Wei Li 《Journal of Rare Earths》 SCIE EI CAS CSCD 2026年第4期1144-1152,I0005,共9页
High magnetic performance magnets were prepared by applying grain boundary diffusion process(GBDP)using Pr-Tb-Co-Ga alloys.The coercivity is significantly increased from original 1236.2e2121.3 k A/m by diffusing Pr_(6... High magnetic performance magnets were prepared by applying grain boundary diffusion process(GBDP)using Pr-Tb-Co-Ga alloys.The coercivity is significantly increased from original 1236.2e2121.3 k A/m by diffusing Pr60Tb10Co15Ga15alloys.The coercivity is increased by 885.2 k A/m while the remanence decreases only 0.013 T.Furthermore,an excellent temperature stability of coercivity is found at elevated temperate,obtaining coercivity of 817.5 k A/m at 423 K.Obvious Tb-rich shells extend to a depth of 800 mm in the Pr60Tb10Co15Ga15GBDP magnet.It is found that the Tb diffusion coefficient along grain boundary in the Pr60Tb10Co15Ga15GBDP magnet(2.46±0.52)×10-8cm2/s)at 1198 K is the largest among the GBDP magnets studied.The joint use of Co/Ga is beneficial to improvement of the fluidity and wettability of the grain boundary,giving rise to high Tb diffusion efficiency.The results offer guidance for developing magnets with excellent integrated magnetic properties and low heavy rare earth content(0.35 wt%). 展开更多
关键词 Nd-Fe-B magnet Grain boundary diffusion Coercivity Temperature stability Microstructure Rare earths
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Enhancement of coercivity and thermal stability for Nd-Fe-B sintered magnets by diffusing Dy-Co-M(M=Cu,Al)alloys 认领 引用 被引量：1
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作者 Qing Li Shuai Cao +7 位作者 Yuhao Li Pan Jing Xiangming Lu Kehan Ren Shengzhi Dong Shuai Guo Renjie Chen Aru Yan 《Journal of Rare Earths》 SCIE EI CAS CSCD 2025年第5期971-980,共10页
Commercial N52 sintered NdFeB magnets were processed by grain boundary diffusion(GBD)with Dy-Co-M(M=Cu,AI)alloys.The coercivity of magnets greatly increase to 17.62 and 18.83 kOe respectively when diffusing Dy58Co_... Commercial N52 sintered NdFeB magnets were processed by grain boundary diffusion(GBD)with Dy-Co-M(M=Cu,AI)alloys.The coercivity of magnets greatly increase to 17.62 and 18.83 kOe respectively when diffusing Dy58Co25Cu17and Dy58Co25Al17alloys,which are obviously higher than that of Dy58Co42GBD-treated magnet with 16.64 kOe,Further thermal stability studies indicate that the thermal stability of Dy58Co25Cu17and Dy58Co25Al17GBD-treated magnets is further improved compared to the Dy58Co42GBD-treated magnet The results show that th e temperature coefficients of remanence(20-120℃)are reduced from-0.148%/℃to-0.134%/℃and-0.132%/℃by Dy58Co25Cu17and Dy58Co25Al17GBD-treatment,respectively.Besides,the irreversible magnetic flux losses(120℃)for Dy58Co25Cu17and Dy58Co25Al17diffusion magnets are 4.76%and 2.79%,respectively.Microstructural analyses demonstrate that the presence of Cu and Al elements reduces the excessive accumulation of Dy and Co on the surface in the diffusion magnets an d improves the diffusion depth and utilization of Dy and Co.Furthermore,the flow of Co from the triple junction phase to the thin grain boundary phase is promoted,which contributes to the uniform distribution of Co.In addition,the dynamic evolution of the magnetic domain structure during the temperature rise process was studied.This work provides insight into the preparation of high-performance and high-thermal stability magnets. 展开更多
关键词 Nd-Fe-B sintered magnets Grain boundary diffusion Thermal stability Magnetic domain Rare earths
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Sustained low diffusing capacity in hepatopulmonary syndrome after liver transplantation 认领 引用 被引量：8
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作者 Graciela Martínez-Pallí Federico P Gómez +5 位作者 Joan A Barberà Miquel Navasa Josep Roca Robert Rodríguez-Roisin Felip Burgos Conchi Gistau 《World Journal of Gastroenterology》 SCIE CAS 2006年第36期5878-5883,共6页
AIM： To study the presence of sustained low diffusing capacity （DLco） after liver transplantation （LT） in patients with hepatopulmonary syndrome （HPS）. METHODS： Six patients with mild-to-severe HPS and 24 with... AIM： To study the presence of sustained low diffusing capacity （DLco） after liver transplantation （LT） in patients with hepatopulmonary syndrome （HPS）. METHODS： Six patients with mild-to-severe HPS and 24 without HPS who underwent LT were prospectively followed before and after LT at mid-term （median, 15 mo）. HPS patients were also assessed at Iong-tem （median, 86 mo）. RESULTS： Before LT, HPS patients showed lower PaO2 （71 ± 8 mmHg）, higher AaPO2 （43 ± 10 mmHg） and lower DLco （54% ± 9% predicted）, due to a combination of moderate-to-severe ventilation-perfusion （VA/Q） imbalance, mild shunt and diffusion limitation, than non- HPS patients （94 ± 4 mmHg and 19 ± 3 mmHg, and 85% ± 3% predicted, respectively） （P 〈 0.05 each）. Seven non-HPS patients had also reduced DLco （70% ± 4% predicted）. At mid- and long-term after LT, compared to pre- LT, HPS patients normalized PaO2 （91 ± 3 mmHg and 87 ± 5 mmHg）, AaPO2 （14 ± 3 mmHg and 23 ± 5 mmHg） and all VA/Q descriptors （P 〈 0.05 each） without changes in DLco （53% ± 8% and 56% ± 7% predicted, respectively）. Post-LT DLco in non-HPS patients with pre- LT low DLco was unchanged （75% ± 6% predicted）. CONCLUSION： While complete VA/Q resolution in HPS indicates a reversible functional disturbance, sustained low DLco after LT also present in some non-HPS patients, points to persistence of sub-clinical liver-induced pulmonary vascular changes. 展开更多
关键词 Carbon monoxide diffusing capacity Multiple inert gas elimination technique Pulmonary gas exchange Pulmonary vascular disorders Ventilation- perfusion relationships
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A New Approach for Evaluating Rejuvenator Diffusing into Aged Bitumen 认领 引用 被引量：5
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作者 KUANG Dongliang FENG Zhengang +2 位作者 YU Jianying CHEN Xing ZHOU Bo 《Journal of Wuhan University of Technology(Materials Science)》 SCIE EI CAS 2011年第1期43-46,共4页
Rejuvenator diffusing into aged bitumen was evaluated by determining penetration and chemical components of aged bitumen with rejuvenator coat before and after diffusing experiment.Effects of temperature,time and visc... Rejuvenator diffusing into aged bitumen was evaluated by determining penetration and chemical components of aged bitumen with rejuvenator coat before and after diffusing experiment.Effects of temperature,time and viscosity of rejuvenator on the diffusing ability of rejuvenator into aged bitumen were investigated.Results indicated that the diffusing ability of rejuvenator into aged bitumen could be enhanced with the increasing of temperature and time,however,the diffusing of rejuvenator into aged bitumen would be restricted due to the volatilization of light component and aging of rejuvenator under high temperature(over 170℃).Rejuvenator with low viscosity diffused into aged bitumen more easily. 展开更多
关键词 bitumen aging rejuvenator diffusing
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Dynamics of Nano-Chain Diffusing in Porous Media 认领 引用
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作者 陈江星 郑强 +2 位作者 黄春云 徐江荣 应和平 《Chinese Physics Letters》 SCIE EI CAS CSCD 2015年第6期199-203,共5页
A coarse-grained model is proposed to study the dynamics of a nano-chain diffusing in porous media. The simulation utilizes a hybrid method which combines stochastic rotation dynamics with molecular dynamics. Solvent ... A coarse-grained model is proposed to study the dynamics of a nano-chain diffusing in porous media. The simulation utilizes a hybrid method which combines stochastic rotation dynamics with molecular dynamics. Solvent molecules are explicitly taken into account to represent the hydrodynamic interactions and random fluctuations. The conformation, relaxation, and diffusion properties of a polymer chain are investigated by changing the density degree of the obstacle matrix. It is found that the average size of the chain is a non- monotonic function of the obstacle volume faction Ф. A dense environment may contribute to extending a linear chain, which can be characterized by larger exponents in the corresponding power law. The relaxation behavior of a stretched chain to a steady state shows dramatic crossover from exponent to power-law relaxation when the values of φ are increased. The dependence of the diffusion coefficient on the chain size is also studied. Various kinds of scaling properties are presented and discussed. The results can give additional insight into the density effect of porous media on polymer structure and dynamics. 展开更多
关键词 Dynamics of Nano-Chain Diffusing in Porous Media
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Computational Studies on Detecting a Diffusing Target in a Square Region by a Stationary or Moving Searcher 认领 引用 被引量：2
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作者 Hongyun Wang Hong Zhou 《American Journal of Operations Research》 2015年第2期47-68,共22页
In this paper, we compute the non-detection probability of a randomly moving target by a stationary or moving searcher in a square search region. We find that when the searcher is stationary, the decay rate of the non... In this paper, we compute the non-detection probability of a randomly moving target by a stationary or moving searcher in a square search region. We find that when the searcher is stationary, the decay rate of the non-detection probability achieves the maximum value when the searcher is fixed at the center of the square search region;when both the searcher and the target diffuse with significant diffusion coefficients, the decay rate of the non-detection probability only depends on the sum of the diffusion coefficients of the target and searcher. When the searcher moves along prescribed deterministic tracks, our study shows that the fastest decay of the non-detection probability is achieved when the searcher scans horizontally and vertically. 展开更多
关键词 Diffusing Target Non-Detection Probability Search Theory Optimal Search Path
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Temperature and Flow Rate Control of Diffusing Chamber 认领 引用
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作者 Yongbo Lai Guoping Lu Zhiwei Wang 《World Journal of Engineering and Technology》 2017年第1期58-76,共19页
The temperature and flow rate control of diffusing chamber is one of the key technologies in the production of poly-crystal silicon thin film. As there exist some modeling uncertainties and errors in the actual system... The temperature and flow rate control of diffusing chamber is one of the key technologies in the production of poly-crystal silicon thin film. As there exist some modeling uncertainties and errors in the actual system, it is difficult to guarantee the chamber variable temperature conditions and the flow rate of diffusion gas being controlled within its targeted range in the rapid thermal processing (RTP). In this paper, the control applies the programmable logic controller (PLC) to configure control hardware system, proposes expert proportional integral derivative (PID) control method to regulate the gas flow rate and H∞ control strategy to attenuate chamber modeling uncertainties and disturbances, respectively, to steer the chamber rapid variable temperature very close to the expected product temperatures. Furthermore, it designs human-machine integrated user control interface (HMI) and achieves rapid and accurately control performances for user operating production. The designed control system are simulated and tested in the application, which demonstrates that the control method has strong robustness when the modeling uncertainties, errors, parameters perturbation and disturbances, the temperature and flow rate meet the requirements of precisely trajectory following. 展开更多
关键词 Diffusing Chamber PLC Hardware Configuring Expert PID Control H∞ Control HMI
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A diffusion model for solute atoms diffusing and aggregating in nuclear structural materials 认领 引用
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作者 宋泉 孟繁新 +2 位作者 宁博元 庄军 宁西京 《Chinese Physics B》 SCIE EI CAS CSCD 2017年第12期432-438,共7页
In nuclear structural materials, the nuclear irradiations induce the precipitations of soluble elements or produce the insoluble elements such as He atoms that may form clusters, heavily shortening the service life-ti... In nuclear structural materials, the nuclear irradiations induce the precipitations of soluble elements or produce the insoluble elements such as He atoms that may form clusters, heavily shortening the service life-times of the materials. In the present work, a diffusion model is developed to predict where and how fast the solute atoms （either soluble or insoluble） aggregate, and this model is applied to the study of the formation and growth of He bubbles in metal tritides （PdT0.6, ErT2, NbT0.0225, VT0.5, TaT0.097, TiT1.5, ZrT1.6） within one thousand days. The results are in good agreement with the available experimental observations and suggest that searching for metals with a barrier of more than 1.1 eV for a single He atom diffusion and making more defects in metal tritides can significantly reduce the growth of He bubbles and extend the service time of the metals. 展开更多
关键词 atomistic modeling diffusion growth metal tritides nucleation and growth helium bubble
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Absorption Rate into a Small Sphere for a Diffusing Particle Confined in a Large Sphere 认领 引用
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作者 Hongyun Wang Hong Zhou 《Applied Mathematics》 2016年第7期709-720,共12页
We study the problem of a diffusing particle confined in a large sphere in the n-dimensional space being absorbed into a small sphere at the center. We first non-dimensionalize the problem using the radius of large co... We study the problem of a diffusing particle confined in a large sphere in the n-dimensional space being absorbed into a small sphere at the center. We first non-dimensionalize the problem using the radius of large confining sphere as the spatial scale and the square of the spatial scale divided by the diffusion coefficient as the time scale. The non-dimensional normalized absorption rate is the product of the physical absorption rate and the time scale. We derive asymptotic expansions for the normalized absorption rate using the inverse iteration method. The small parameter in the asymptotic expansions is the ratio of the small sphere radius to the large sphere radius. In particular, we observe that, to the leading order, the normalized absorption rate is proportional to the (n - 2)-th power of the small parameter for . 展开更多
关键词 Diffusion Equation Brownian Diffusion Asymptotic Solutions Absorption Rate
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Performance Analysis of Optical Wireless Communication System Employing Neuro-Fuzzy Based Spot-Diffusing Techniques 认领 引用
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作者 Shamim Al Mamun M. Shamim Kaiser +2 位作者 Muhammad R Ahmed Md. Shafiqul Islam Md. Imdadul Islam 《Communications and Network》 2013年第3期260-265,共6页
The spot-diffusing technique provides better performance compared to conventional diffuse system for indoor optical-wireless communication (OWC) system. In this paper, the performance of an OW spot-diffusing communica... The spot-diffusing technique provides better performance compared to conventional diffuse system for indoor optical-wireless communication (OWC) system. In this paper, the performance of an OW spot-diffusing communication system using Neuro-Fuzzy (NF) adaptive multi-beam transmitter configuration has been proposed. The multi-beam transmitter generates multiple spots pointed in different directions, hence, forming a matrix of diffusing spots based on position of the receiver and receiver mobility. Regardless of the position of the transmitter and receiver, NF controller target the spots adaptively at the best locations and allocates optimal power to the spots and beam angle are adapted in order to achieve better signal-to-noise plus interference ratio (SNIR). Maximum ratio combining (MRC) is used in the imaging receiver. The proposed OW spot-diffusing communication system is compared with other spot-beam diffusion methods proposed in literature. Performance evaluation revels that the proposed NF based OW spot-diffusing communication system outperforms other spot-beam diffusion methods. 展开更多
关键词 Optical-wireless Communication Spot Diffusion Technique Neuro-fuzzy Imaging Receiver Adaptive Power Allocation
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Prediction of the Diffusion Behavior of Interstitial Nonmetallic B and N Atoms Diffusing in FCC_CoNiV Multi‐Principal Element Alloy Based on Sublattice Preference:A Comparative Study 认领 引用
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作者 Xiaolin Zhou Minliang Gao +21 位作者 Dehua Wu Hui Guo Yang Qiao Xiangyan Su Xuan Fang Anqi Ji Xingyu Chen Xiaoqiong Zhang Hehua Que Baisheng Sa Yu Tang Chuangshi Feng Fuxiang Zhang Limei Cha Xiaolan Yang Bo Wu Chen Dong Jiankang Huang Frank Vrionis Jian Wang Yue Shen Ming Wen 《Materials Genome Engineering Advances》 CAS CSCD 2026年第2期163-180,共18页
The general predictive approach established in our previous work Qiao et al.,Materials Genome Engineering Advances.2025;3(3):e70021.was employed to study the diffusion behavior of interstitial B and N atoms in FCC_CoN... The general predictive approach established in our previous work Qiao et al.,Materials Genome Engineering Advances.2025;3(3):e70021.was employed to study the diffusion behavior of interstitial B and N atoms in FCC_CoNiV multi‐principal element alloy(MPEA)based on sublattice preference,with comparative C data from prior work,to enrich the diffusion genome database of lightweight interstitial elements.Furthermore,we employed the Kabsch algorithm to describe the lattice distortion of the octahedra containing interstitial atoms quantitatively.The results show that the number of V atoms in the local octahedral environment exerts a different regulatory effect on the diffusion behavior of interstitial atoms B and N;that is,B and C exhibit a higher diffusion barrier when migrating into V‐rich sites,whereas N exhibits such higher barrier when leaving these sites.Electron localization function(ELF)analysis shows the difference is due to the diverse bonding strengths between V atoms and interstitial atoms B,N,and C.Nonperiodic diffusion barrier waves and diffusion parameters were quantitatively predicted in detail.The fundamental understanding of interstitial diffusion mechanisms and quantitative characterization of the diffusion parameters of B,N,and C in FCC_CoNiV MPEA provide a benchmark and critical insights for tailoring alloy properties through interstitial engineering. 展开更多
关键词 diffusion behavior diffusion parameters first-principles calculations interstitial elements(B N C) multi-principal element alloys(MPEAs) sublattic epreference
Generative Semantic Communication:Architectures,Technologies,and Applications 认领 引用 被引量：4
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作者 Jinke Ren Yaping Sun +7 位作者 Hongyang Du Weiwen Yuan Chongjie Wang Xianda Wang Yingbin Zhou Ziwei Zhu Fangxin Wang Shuguang Cui 《Engineering》 SCIE EI CSCD 2026年第1期45-61,共17页
Semantic communication(SemCom)has emerged as a transformative paradigm for future wireless networks,aiming to improve communication efficiency by transmitting only the semantic meaning(or its encoded version)of the so... Semantic communication(SemCom)has emerged as a transformative paradigm for future wireless networks,aiming to improve communication efficiency by transmitting only the semantic meaning(or its encoded version)of the source data rather than the complete set of bits(symbols).However,traditional deep-learning-based SemCom systems present challenges such as limited generalization,low robustness,and inadequate reasoning capabilities,primarily due to the inherently discriminative nature of deep neural networks.To address these limitations,generative artificial intelligence(GAI)is seen as a promising solution,offering notable advantages in learning complex data distributions,transforming data between high-and low-dimensional spaces,and generating high-quality content.This paper explores the applications of GAI in SemCom and presents a comprehensive study.It begins by introducing three widely used SemCom systems enabled by classical GAI models:variational autoencoders,generative adversarial networks,and diffusion models.For each system,the fundamental concept of the GAI model,the corresponding SemCom architecture,and a literature review of recent developments are provided.Subsequently,a novel generative SemCom system is proposed,incorporating cutting-edge GAI technology—large language models(LLMs).This system features LLM-based artificial intelligence(AI)agents at both the transmitter and receiver,which act as“brains”to enable advanced information understanding and content regeneration capabilities,respectively.Unlike traditional systems that focus on bitstream recovery,this design allows the receiver to directly generate the desired content from the coded semantic information sent by the transmitter.As a result,the communication paradigm shifts from“information recovery”to“information regeneration,”marking a new era in generative SemCom.A case study on point-to-point video retrieval is presented to demonstrate the effectiveness of the proposed system,showing a 99.98%reduction in communication overhead and a 53%improvement in average retrieval accuracy compared to traditional communication systems.Furthermore,four typical application scenarios for generative SemCom are described,followed by a discussion of three open issues for future research.In summary,this paper provides a comprehensive set of guidelines for applying GAI in SemCom,laying the groundwork for the efficient deployment of generative SemCom in future wireless networks. 展开更多
关键词 Semantic communication Generative artificial intelligence Large language model Variational autoencoder Generative adversarial network Diffusion model
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Revealing the Hydrogen Permeation Mechanism in Polyetheretherketone and Polytetrafluoroethylene:From Experimental Validation to Molecular-level Interpretation 认领 引用 被引量：1
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作者 Hong-Lin Zhang Wen-Tao Hu +2 位作者 Jie Xiao Tian-Lei Li Yuan-Hua Lin 《Chinese Journal of Polymer Science》 SCIE EI CAS CSCD 2026年第1期278-298,I0019,共21页
This study integrates experimental investigation with molecular dynamics simulations to elucidate the hydrogen transport mechanisms in polyetheretherketone(PEEK)and polytetrafluoroethylene(PTFE),offering fundamental i... This study integrates experimental investigation with molecular dynamics simulations to elucidate the hydrogen transport mechanisms in polyetheretherketone(PEEK)and polytetrafluoroethylene(PTFE),offering fundamental insights into the barrier properties of high-performance polymeric materials.Experimental results demonstrate that PEEK exhibits superior hydrogen barrier performance compared to PTFE at both ambient and elevated temperatures.However,detailed molecular dynamics simulations uncover a distinctive,enthalpy-driven"high solubility-low diffusivity"transport mechanism:although PEEK displays higher hydrogen solubility due to its stronger thermodynamic affinity,its diffusion coefficient is markedly lower than that of PTFE.This mechanism remains operative across a broad operational temperature range(233 K to358 K),yet its influence on overall permeability is strongly temperature-dependent.At room and high temperatures,the exceptionally low diffusivity of PEEK governs the entire permeation process,establishing its effectiveness as a high-performance hydrogen barrier material.In contrast,under low-temperature conditions(e.g.,233 K),the general suppression of diffusion allows the high solubility of PEEK to dominate,resulting in greater overall permeability than PTFE and giving rise to a performance“reversal”phenomenon.This distinct transport behavior originates from the strong non-covalent interactions between hydrogen molecules and the aromatic rings as well as polar functional groups present in the amorphous regions of PEEK,which simultaneously enhance solubility and impose significant kinetic energy barriers.The"structure-mechanism"correlation framework established in this work provides a robust theoretical foundation for the rational design of next-generation hydrogen barrier materials tailored to specific operational temperature requirements. 展开更多
关键词 Hydrogen permeation Polytetrafluoroethylene/polyetheretherketone Molecular dynamics simulation High solubility-low diffusivity
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Molecular dynamics simulation on surface hydration of different cationic montmorillonite 认领 引用 被引量：1
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作者 WANG Yue-peng LIU Xin +1 位作者 LIU Xiang-jun TANG Shi-bin 《Journal of Central South University》 SCIE EI CAS CSCD 2026年第2期944-967,共24页
In order to reveal the mechanism of surface hydration differences for different types of montmorillonite crystals,the hydration processes of sodium,potassium,and calcium montmorillonite were simulated by molecular dyn... In order to reveal the mechanism of surface hydration differences for different types of montmorillonite crystals,the hydration processes of sodium,potassium,and calcium montmorillonite were simulated by molecular dynamics.These simulation results show that with the increase of the number of water molecules,the interlayer spacing of montmorillonite expands in a step-by-step manner,accompanied by volume expansion,decrease in density,and increase in self-diffusion coefficients of water molecules and cations.In addition,as the water molecular layer accumulates,the peak values of the radial distribution function between Na+/K+/Ca2+ions and Ow/Hw(oxygen or hydrogen atoms in water molecules)gradually decrease.The degree of polymerization of water intensifies before decreasing,while the elastic modulus and acoustic velocity are gradually decreasing.It is worth noting that Na+ion shows the highest tendency to hydrate,followed by Ca2+,and then K+.Among the cations studied,Ca2+ion has the highest hydration coordination number,hydration number and hydration radius.As a result,calcium montmorillonite exhibits the widest intensity range and the largest acoustic velocity.These findings can provide references for engineering practices such as oil and gas exploration,tunnel excavation,slope stabilization,and deep geological disposal. 展开更多
关键词 montmorillonite surface hydration molecular dynamics simulation radial distribution function self diffusion coefficient elasticity modulus
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Magnetic resonance imaging tracing of superparamagnetic iron oxide nanoparticle-labeled mesenchymal stromal cells for repairing spinal cord injury 认领 引用 被引量：1
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作者 Xiaoli Mai Yuanyuan Xie +12 位作者 Zhichong Wu Junting Zou Jiacheng Du Yunpeng Shen Hao Liu Bo Chen Mengxia Zhu Jiong Shi Yang Chen Bing Zhang Zezhang Zhu Bin Wang Ning Gu 《Neural Regeneration Research》 SCIE CAS CSCD 2026年第5期2031-2039,共9页
Mesenchymal stromal cell transplantation is an effective and promising approach for treating various systemic and diffuse diseases.However,the biological characteristics of transplanted mesenchymal stromal cells in hu... Mesenchymal stromal cell transplantation is an effective and promising approach for treating various systemic and diffuse diseases.However,the biological characteristics of transplanted mesenchymal stromal cells in humans remain unclear,including cell viability,distribution,migration,and fate.Conventional cell tracing methods cannot be used in the clinic.The use of superparamagnetic iron oxide nanoparticles as contrast agents allows for the observation of transplanted cells using magnetic resonance imaging.In 2016,the National Medical Products Administration of China approved a new superparamagnetic iron oxide nanoparticle,Ruicun,for use as a contrast agent in clinical trials.In the present study,an acute hemi-transection spinal cord injury model was established in beagle dogs.The injury was then treated by transplantation of Ruicun-labeled mesenchymal stromal cells.The results indicated that Ruicunlabeled mesenchymal stromal cells repaired damaged spinal cord fibers and partially restored neurological function in animals with acute spinal cord injury.T2*-weighted imaging revealed low signal areas on both sides of the injured spinal cord.The results of quantitative susceptibility mapping with ultrashort echo time sequences indicated that Ruicun-labeled mesenchymal stromal cells persisted stably within the injured spinal cord for over 4 weeks.These findings suggest that magnetic resonance imaging has the potential to effectively track the migration of Ruicun-labeled mesenchymal stromal cells and assess their ability to repair spinal cord injury. 展开更多
关键词 acute spinal cord injury diffusion tensor imaging dynamic migration mesenchymal stromal cells neural function neuronal regeneration quantitative susceptibility mapping repairability ruicun superparamagnetic iron oxide nanoparticle
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Application research of a hybrid data-and knowledge-driven artificial intelligence scientific computing model in neutron diffusion calculation for nuclear reactors 认领 引用 被引量：1
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作者 Fu-Lin Zeng Xiao-Long Zhang +1 位作者 Peng-Cheng Zhao Zi-Jing Liu 《Nuclear Science and Techniques》 SCIE EI CAS CSCD 2026年第2期223-244,共22页
Amidst the growing global emphasis on nuclear safety,the integrity of nuclear reactor systems has garnered attention in the aftermath of consequential events.Moreover,the rapid development of artificial intelligence t... Amidst the growing global emphasis on nuclear safety,the integrity of nuclear reactor systems has garnered attention in the aftermath of consequential events.Moreover,the rapid development of artificial intelligence technology has provided immense opportunities to enhance the safety and economy of nuclear energy.However,data-driven deep learning techniques often lack interpretability,which hinders their applicability in the nuclear energy sector.To address this problem,this study proposes a hybrid data-driven and knowledge-driven artificial intelligence model based on physics-informed neural networks to accurately compute the neutron flux distribution inside a nuclear reactor core.Innovative techniques,such as regional decomposition,intelligent keff(effective multiplication factor)search,and keffinversion,have been introduced for the calculation.Furthermore,hyperparameters of the model are automatically optimized using a whale optimization algorithm.A series of computational examples are used to validate the proposed model,demonstrating its applicability,generality,and high accuracy in calculating the neutron flux within the nuclear reactor.The model offers a dependable strategy for computing the neutron flux distribution in nuclear reactors for advanced simulation techniques in the future,including reactor digital twinning.This approach is data-light,requires little to no training data,and still delivers remarkably precise output data. 展开更多
关键词 Neutron diffusion equation Physics informed neural network Effective multiplication factor Whale optimization algorithm
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Inverse Design of Composite Materials Based on Latent Space and Bayesian Optimization 认领 引用 被引量：1
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作者 Xianrui Lyu Xiaodan Ren 《Computer Modeling in Engineering & Sciences》 SCIE EI 2026年第1期1-25,共25页
Inverse design of advanced materials represents a pivotal challenge in materials science.Leveraging the latent space of Variational Autoencoders(VAEs)for material optimization has emerged as a significant advancement ... Inverse design of advanced materials represents a pivotal challenge in materials science.Leveraging the latent space of Variational Autoencoders(VAEs)for material optimization has emerged as a significant advancement in the field of material inverse design.However,VAEs are inherently prone to generating blurred images,posing challenges for precise inverse design and microstructure manufacturing.While increasing the dimensionality of the VAE latent space can mitigate reconstruction blurriness to some extent,it simultaneously imposes a substantial burden on target optimization due to an excessively high search space.To address these limitations,this study adopts a Variational Autoencoder guided Conditional Diffusion Generative Model(VAE-CDGM)framework integrated with Bayesian optimization to achieve the inverse design of composite materials with targeted mechanical properties.The VAE-CDGM model synergizes the strengths of VAEs and Denoising Diffusion Probabilistic Models(DDPM),enabling the generation of high-quality,sharp images while preserving a manipulable latent space.To accommodate varying dimensional requirements of the latent space,two optimization strategies are proposed.When the latent space dimensionality is excessively high,SHapley Additive exPlanations(SHAP)sensitivity analysis is employed to identify critical latent features for optimization within a reduced subspace.Conversely,direct optimization is performed in the low-dimensional latent space of VAE-CDGM when dimensionality is modest.The results demonstrate that both strategies accurately achieve the targeted design of composite materials while circumventing the blurred reconstruction flaws of VAEs,which offers a novel pathway for the precise design of advanced materials. 展开更多
关键词 Variational autoencoder denoising diffusion generation model composite materials Bayesian opti-mization SHapley Additive exPlanations
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Unveiling the potential of helium enrichment in shale reservoirs:A molecular and experimental perspective 认领 引用
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作者 Shuangshuang Lin Xin Chang +2 位作者 Yue Yu Chunhe Yang Yintong Guo 《International Journal of Coal Science & Technology》 SCIE EI CAS CSCD 2026年第2期137-156,共20页
Helium-bearing shale reservoirs are gaining attention as unconventional strategic resources,yet the fundamental mechanisms governing helium occurrence and migration remain poorly resolved.In this study,we integrate hi... Helium-bearing shale reservoirs are gaining attention as unconventional strategic resources,yet the fundamental mechanisms governing helium occurrence and migration remain poorly resolved.In this study,we integrate high-pressure adsorption–diffusion experiments(308 K,1300 psi)with molecular simulations under reservoir-relevant conditions(70 MPa,403–423 K)to investigate helium behavior in organic-rich shale.Results show that during CH4–He co-adsorption,methane preferentially occupies adsorption sites,thereby reducing the adsorption capacity of helium.Meanwhile,molecular simulations indicate that methane enhances helium’s near-wall residence(adsorption-layer fraction)through confinement and steric hindrance within nanopores.In this stage,varying helium concentration from 0.05%to 5%yields a limited impact on the overall diffusion coefficient.However,during desorption,helium shows a sharp mobility enhancement,and the diffusion coefficient increases from 0.3×10 to 17×10−12m2/s.This increase is attributed to methane evacuation and weak helium binding.Interaction energy analysis reveals that clay minerals dominate helium retention,and increasing methane content strongly non-linear enhances He–shale interactions as helium concentration decreases from 100%to 5%.These findings clarify helium’s occurrence state and its competitive dynamics with methane,offering molecular-level insights into the potential for helium preservation and co-production in CH4-rich shale systems. 展开更多
关键词 He Diffusion coefficient Experiments and simulations Molecular dynamics Diffusion mechanism
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Revealing the mechanism of Zr coating modification on Ni-rich cathode materials through solid-phase diffusion 认领 引用
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作者 Lingjun Li Yanjie Huang +6 位作者 Zhenxuan Liu Niu Zhao Huazhao Liang Minzheng Zhou Kangyu Zou Lei Tan Tianxiang Ning 《Chinese Chemical Letters》 SCIE CAS CSCD 2026年第7期766-772,共7页
Ni-rich layered oxides are regarded as one of the most reliable cathode materials for lithium-ion batteries.Modifying the crystal structure through doping with foreign elements and constructing surface coating layers ... Ni-rich layered oxides are regarded as one of the most reliable cathode materials for lithium-ion batteries.Modifying the crystal structure through doping with foreign elements and constructing surface coating layers are common modification methods for Ni-rich cathode materials.However,the relationship between the diffusion depth and distribution behavior of foreign elements within the cathode material and the composition of the cathode material has rarely been studied in depth.In this work,by exploring the relationship between element concentration and position in a specially prepared two-substances diffusion couple,the diffusion coefficients between Zr4+and transition metal elements TMM+(TM=Ni,Co,Mn;n=3,4)were obtained.It was found that the magnitude relationship of their diffusion coefficients is:Zr4+/Mn4+>Zr4+/Mn3+>Zr4+/Co3+>Zr4+/Ni3+.Moreover,through the Arrhenius equation,it was determined that the Zr4+/Mn4+diffusion couple has the smallest diffusion activation energy of only 0.43eV,while the Zr4+/Ni3+diffusion couple has the largest diffusion activation energy,which is 0.63 eV.In addition,this study designed a specific core-shell structure model based on the microscopic morphology of the prepared cathode precursor particles,accurately predicting the distribution differences of Zr4+in cathode materials with different compositions during the actual sintering process.This work explains the reason for the formation of a Li2ZrO3 secondary phase coating layer on the surface of Ni-rich cathode material particles from the perspective of diffusion kinetics,providing a strong theoretical basis for the future design of high-performance element-modified Ni-rich cathode materials. 展开更多
关键词 Ni-rich cathode Diffusion coefficients Diffusion activation energy Li2ZrO3coating layer Diffusion kinetics
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Evans syndrome following influenza A presenting with diffuse alveolar hemorrhage managed with extracorporeal membrane oxygenation 认领 引用
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作者 Haotian Lu Anke Shi +3 位作者 Jieqiong Yu Jing Zhao Guoqiang Zhang Shengtao Yan 《World Journal of Emergency Medicine》 SCIE CAS CSCD 2026年第4期382-384,共3页
Diffuse alveolar hemorrhage(DAH)is a lifethreatening clinical condition characterized by bleeding into alveolar spaces,resulting in diffuse pulmonary infiltrates,hemoptysis,and hypoxemic respiratory failure.The etiolo... Diffuse alveolar hemorrhage(DAH)is a lifethreatening clinical condition characterized by bleeding into alveolar spaces,resulting in diffuse pulmonary infiltrates,hemoptysis,and hypoxemic respiratory failure.The etiologies of DAH include,but are not limited to,hematologic abnormalities(e.g.,thrombocytopenia and coagulopathies),autoimmune diseases(e.g.,vasculitis and systemic lupus erythematosus),and toxic or drug-induced lung injury. 展开更多
关键词 Diffuse alveolar hemorrhage diffuse alveolar hemorrhage dah hypoxemic respiratory failurethe systemic lupus erythematosus bleeding alveolar spacesresulting diffuse pulmonary infiltrateshemoptysisand Extracorporeal membrane oxygenation Evans syndrome
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