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A comprehensive survey of artificial intelligence applications in UAV-enabled wireless networks 认领 引用 被引量：2
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作者 Li Zhou Hao Yin +3 位作者 Haitao Zhao Jibo Wei Dewen Hu Victor C.M.Leung 《Digital Communications and Networks》 SCIE EI CSCD 2026年第4期561-583,共23页
This comprehensive survey paper examines the applications of Artificial Intelligence(AI)in Unmanned Aerial Vehicle(UAV)-enabled wireless networks.With the increasing demand for efficient and adaptive communication sys... This comprehensive survey paper examines the applications of Artificial Intelligence(AI)in Unmanned Aerial Vehicle(UAV)-enabled wireless networks.With the increasing demand for efficient and adaptive communication systems,the integration of AI with UAV networks promises to revolutionize various aspects of wireless communication.The paper first outlines the background and motivation behind AI integration,highlighting the potential for enhanced network performance,autonomy,and adaptability.It then delves into the key AI applications across different network layers,including data sensing and collection,placement and trajectory optimization,radio resource management,routing and topology control,edge computing and caching,as well as security and privacy enhancement.For each application,the paper discusses relevant AI techniques,main findings,optimization objects,and the potential benefits and challenges.The survey also identifies open issues,such as the practical implementation gap,standardization issues,and real-world application barriers,and proposes future directions to address these challenges and further advance the field.In conclusion,the integration of AI with UAV-enabled Wireless Networks(UWNs)holds tremendous potential for transforming wireless communication,enabling new applications and services with unprecedented capabilities. 展开更多
关键词 Artificial intelligence(AI) Machine learning(ML) Unmanned aerial vehicle(UAV) Wireless network
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RIS-assisted cellular networks with multiple D2D pairs:Outage and ergodic achievable rate 认领 引用
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作者 Yaxuan Liu Yiyang Ni +2 位作者 Haitao Zhao Yuxi Wang Yan Cai 《Digital Communications and Networks》 SCIE EI CSCD 2026年第1期52-65,共14页
Reconfigurable Intelligent Surface(RIS)is envisioned as a promising technology to improve the system capacity of 6G network,by controlling the electromagnetic wave propagation.Most existing works use the Central Limit... Reconfigurable Intelligent Surface(RIS)is envisioned as a promising technology to improve the system capacity of 6G network,by controlling the electromagnetic wave propagation.Most existing works use the Central Limit Theorem(CLT)to analyze the performance of RIS-assisted systems for large number of reflective elements.However,the assumption of extremely large number of elements may not be practical in the actual situation.In addition,the CLT-based approximation yields an inaccurate scaling law of the outage probability when the transmit Signal-to-Noise Ratio(SNR)tends to infinity.Motivated by these limitations,in this paper,we investigate the performance of RIS-assisted cellular networks with multiple Device-to-Device(D2D)users under the general fading channels,i.e.,Nakagami-m fading channels.We propose a tractable solution to evaluate the outage probability and the ergodic achievable rate,which is accurate for any number of reflective elements,any network topology,as well as any SNR.In addition,the accurate approximations for the high SNR case and the large number of reflective elements case are further derived in simpler closed form.Numerical results verify the accuracy of our analytical results and analyze the performance between CLT and the proposed method. 展开更多
关键词 Reconfigurable intelligent surface 6G cellular networks Device-to-device Outage probability Ergodic achievable rate Nakagami-fading
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Agentic Robotic Boxes for Perovskite Solar Cell Fabrication with Recipe Language Model 认领 引用
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作者 Zijian Chen Wenjin Yu +22 位作者 Chuang Wu Feibei Chen Zixuan Wang Chao Zhou Yimeng You Shaojie Li Qiyuan Zhu Ning Ma Yao Sun Donghui Li Billy Fanady Shengchou Jiang Zhongliang Yan Shumin Zhou Liang Li Chang-Yu Hsieh Yang Bai Lixin Xiao Chi-yung Chung Ching-chuen Chan Zhanfeng Cui Michael Grätzel Haitao Zhao 《Engineering》 SCIE EI CSCD 2026年第6期365-374,共10页
Perovskite solar cells(PSCs)have been undergoing rapid development with the vast combinatorial explo-ration of recipes;however,the related research suffers from time-consuming trial-and-error synthesis and labor-inten... Perovskite solar cells(PSCs)have been undergoing rapid development with the vast combinatorial explo-ration of recipes;however,the related research suffers from time-consuming trial-and-error synthesis and labor-intensive fabrication.As a promising alternative,interconnected robotic boxes that integrate fabrication and characterization enable high-throughput experimentation and data collection;however,the resulting numerical datasets are often insufficiently analyzed and fail to provide effective feedback for semantic recipe optimization.Here,we conceived and realized an emerging scientific tool of robotic boxes enabled by a domain-specific recipe language model(RLM)and a coordinating language agent for PSCs research.The developed agent features two loops of seven artificial intelligence(AI)layers,in which both numerical and semantic recipes were continuously learned and optimized from the literature and robotic corpora for iterative fine-tuning of the RLM.Guided by the agent,11 robotic boxes executed the controllable synthesis,fabrication,and characterization of 50764 PSCs,increasing the power conver-sion efficiency(PCE)to 27.0%(26.5%certified).Simultaneously,more than 578 million tokens were gen-erated and augmented to improve the ability to recommend a recipe and mechanistic reasoning,achieving an overall score of about 80%based on the dedicated evaluation criteria.Thus,such agentic robotic boxes provide an advanced tool for the next-generation synthesis,fabrication,characterization,and even mechanistic reasoning of PSCs and beyond. 展开更多
关键词 Robotics Language agent Recipe language model Materials intelligence Perovskite solar cells Device fabrication
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Revealing effect of Sn on the mechanical properties of resistance spot welds for 460 MPa grade HSLA steel 认领 引用
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作者 Zhaoqi Song Haitao Zhao +8 位作者 Kaixun Wang Long Ma Junheng Gao Honghui Wu Yuhe Huang Chaolei Zhang Jun Lu Shuize Wang Xinping Mao 《International Journal of Minerals,Metallurgy and Materials》 SCIE EI CAS CSCD 2026年第3期874-887,共14页
Driven by efforts toward carbon-neutral steelmaking,increased scrap usage elevates Sn content in steels.While the general effects of Sn on steel have been studied,its specific influence on resistance spot welding(RSW)... Driven by efforts toward carbon-neutral steelmaking,increased scrap usage elevates Sn content in steels.While the general effects of Sn on steel have been studied,its specific influence on resistance spot welding(RSW)remains unclear.This study investigates Sn’s impact on the mechanical properties of RSW joint of 460 MPa HSLA steel.Cross-tension tests reveal that both the RSW joint without Sn and the RSW joint·containing 0.09wt%Sn exhibit pull-out failure.The RSW joint containing 0.09wt%Sn showing higher peak load and energy absorption attributed to Sn’s solid–solution strengthening.Conversely,the RSW joint containing 0.52wt%Sn exhibited the partial interface failure mode,significantly reducing the peak load and energy absorption.The primary reason is the segregation of Sn in the interdendritic regions of the fusion zone,which weakens atomic cohesion and reduces fracture toughness.Such severe segregation arises from RSW’s high cooling rates,which shift the primary solidification phase from δ-ferrite to austenite.Fortunately,double-pulse RSW mitigates Sn segregation,restoring failure mode and mechanical performance.This study assesses the impact of Sn on RSW joint properties,and these findings highlight the broader significance of understanding scrap-related residual element effects in sustainable steel production. 展开更多
关键词 Sn failure mode segregation fracture toughness resistance spot welding
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Achieving 2.6 GPa tensile strength with outstanding ductility in high-carbon low-alloy steel 认领 引用
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作者 Guoyang Li Feilong Sun +8 位作者 Guilin Wu Honghui Wu Junheng Gao Haitao Zhao Yuhe Huang Jun Lu Chaolei Zhang Shuize Wang Xinping Mao 《International Journal of Minerals,Metallurgy and Materials》 SCIE EI CAS CSCD 2026年第4期1201-1213,共13页
Increasing the carbon content in low-alloy steels is one of the most cost-effective and efficient methods for enhancing strength,often resulting in a significant reduction in ductility.In this study,a high-carbon low-... Increasing the carbon content in low-alloy steels is one of the most cost-effective and efficient methods for enhancing strength,often resulting in a significant reduction in ductility.In this study,a high-carbon low-alloy steel with a tensile strength of about 2.6 GPa and a total elongation of 12%was developed,through the synergistic applications of two key strategies:i)refine prior austenite grains(PAGs)leading to the transition of quenched microstructure from brittle twinned martensite to dislocation martensite;ii)suppress the martensitic transformation finish temperature to sub-room temperature by the combined effect of high content of carbon and alloying elements,i.e.,Ni,Mn,Si,Cr,and Mo.After quenching and tempering,the steel retains approximately 15 vol%stable retained austenite(RA),which enhances ductility through the transformation-induced plasticity(TRIP)effect.These strategies collectively contribute to both high strength and excellent ductility,enhancing the strength–ductility synergy in ultra-high strength steels. 展开更多
关键词 high-carbon steel room-temperature quenching and partitioning steel mechanical property retained austenite trip effect
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Multi-scale modeling:Analysis and design of thermal–mechanical coupling behavior of integrated thermal protection systems 认领 引用
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作者 Yang LIU Haitao ZHAO +3 位作者 Kai LIU Zhongjie ZHAO Min FENG Ji'an CHEN 《Chinese Journal of Aeronautics》 SCIE EI CAS CSCD 2026年第3期370-383,共14页
In this study,an integrated thermal protection system was formed by bonding the Carbon/Carbon(C/C) composite thermal insulation layer and carbon foam thermal insulation tile on an aluminum honeycomb sandwich panel acc... In this study,an integrated thermal protection system was formed by bonding the Carbon/Carbon(C/C) composite thermal insulation layer and carbon foam thermal insulation tile on an aluminum honeycomb sandwich panel according to the functions of each layer of materials,and the thermal–mechanical response was analyzed by experimental tests and numerical simulations.First,infrared lamp facility and arcjet wind tunnel tests were used to check the accuracy of the model and calculate the heat-shielding index.Then,using the aerodynamic heat flow and pressure of the vehicles re-entry process,the temperature field and thermal deformation of the thermal protection system were analyzed according to the thermal–mechanical coupling analysis,and its performance requirements as a vehicles shell were evaluated.Analysis show that the thermomechanical properties of each layer were mismatched due to thermal deformation,resulting in debonding at the interlayer interface,which was also observed in the experiment.In addition,a 1 mm gap in the insulation tile promotes the release of thermal stress and reduces interlayer disbonding.According to the multi-scale model,10 thermal cycles(corresponding to the flight process) were analyzed,and the failure and damage evolution process of C/C composites at the microscopic level were revealed.The results of thermal cycling show that the microscopic damage started from the interfacial debonding of the fiber/matrix and ended with the connection of the pores through crack propagation in the matrix.This study provides a solution for analyzing the thermal–mechanical response of a thermal protection system and a design solution for improving reusability. 展开更多
关键词 Thermal protection system Multi-scale models C/C composites Thermal-mechanical coupling Thermal cycle
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Intelligent Material Framework for Data Mining and Performance Prediction of Invar Alloy 认领 引用
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作者 Tongbo Jiang Chunlei Shang +9 位作者 Hong‐Hui Wu Mingshuo Nie Dexin Zhu Fan Yang Haoliang Wang Shuize Wang Junheng Gao Haitao Zhao Chaolei Zhang Xinping Mao 《Rare Metals》 SCIE EI CAS CSCD 2026年第6期371-383,共13页
Invar alloys exhibit a low coefficient of thermal expansion(CTE)over a wide temperature range and are regarded as critical materials for precision engineering and aerospace applications.In this work,an integrated OLR... Invar alloys exhibit a low coefficient of thermal expansion(CTE)over a wide temperature range and are regarded as critical materials for precision engineering and aerospace applications.In this work,an integrated OLR‐IMF(an intelligent material framework based on optical character recognition[OCR],large language models[LLMs],and retrieval‐augmented generation[RAG])is developed for the CTE prediction of Invar alloys.This framework synergizes OCR,LLMs,and RAG core technologies to construct a closed‐loop workflow,which encompasses literature acquisition,structured data extraction,materials information mining,and interpretable prediction.Within this framework,the structured data extraction step achieves an F1‐score of 89.4(a standard metric for the accuracy and completeness of literature data extraction)based on which 120 data entries of as‐cast Invar alloys were extracted from 662 Invar alloy‐related publications,and 323 potential machine learning features were collated through two rounds of RAG‐based QA.Feature selection was performed using a genetic algorithm and an optimal subset was identified,yielding a prediction coefficient of determination(R2)of 0.935 after 10‐fold cross‐validation.The approach provides a generalizable pathway for intelligent research and development in materials science. 展开更多
关键词 coefficient of thermal expansion Fe‐Ni Invar alloys large language models retrieval‐augmented generation
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Recent advances and perspectives in interface engineering of high-performance alloys 认领 引用
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作者 Yuan Zhu Tongbo Jiang +7 位作者 Honghui Wu Faguo Hou Xiaoye Zhou Feiyang Wang Shuize Wang Junheng Gao Haitao Zhao Chaolei Zhang 《International Journal of Minerals,Metallurgy and Materials》 SCIE EI CAS CSCD 2026年第1期53-67,共15页
High-performance alloys are indispensable in modern engineering because of their exceptional strength,ductility,corrosion resistance,fatigue resistance,and thermal stability,which are all significantly influenced by t... High-performance alloys are indispensable in modern engineering because of their exceptional strength,ductility,corrosion resistance,fatigue resistance,and thermal stability,which are all significantly influenced by the alloy interface structures.Despite substantial efforts,a comprehensive overview of interface engineering of high-performance alloys has not been presented so far.In this study,the interfaces in high-performance alloys,particularly grain and phase boundaries,were systematically examined,with emphasis on their crystallographic characteristics and chemical element segregations.The effects of the interfaces on the electrical conductivity,mechanical strength,toughness,hydrogen embrittlement resistance,and thermal stability of the alloys were elucidated.Moreover,correlations among various types of interfaces and advanced experimental and computational techniques were examined using big data analytics,enabling robust design strategies.Challenges currently faced in the field of interface engineering and emerging opportunities in the field are also discussed.The study results would guide the development of next-generation high-performance alloys. 展开更多
关键词 interface engineering crystallographic boundary chemical boundary alloy design
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Mechanism of nano-scale zero-valent iron modified biochar for enhancing low-nitrogen anammox process resistance to low temperatures 认领 引用 被引量：7
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作者 Wenjing Chen Lijin Zhang +3 位作者 Zirui Liu Wenru Liu Bin Lu Haitao Zhao 《Journal of Environmental Sciences》 SCIE EI CAS CSCD 2025年第6期442-452,共11页
Two anaerobic ammonia oxidation(anammox)systems,one with adding nano-scale zerovalent iron modified biochar(nZVI@BC)and the other with adding biochar,were constructed to explore the feasibility of nZVI@BC for enhancin... Two anaerobic ammonia oxidation(anammox)systems,one with adding nano-scale zerovalent iron modified biochar(nZVI@BC)and the other with adding biochar,were constructed to explore the feasibility of nZVI@BC for enhancing the resistance of low-nitrogen anammox processes to low temperatures.The results showed that the average nitrogen removal efficiency with nZVI@BC addition at lowtemperatureswas maintained at about 80%,while that with biochar addition gradually decreased to 69.49%.The heme-c content of biomass with nZVI@BC was significantly higher by 36.60%-91.45%.Additional,nZVI@BC addition resulted in more extracellular polymeric substances,better biomass granulation,and a higher abundance of anammox bacteria.In particularly,anammox genes hzsA/B/C,hzo and hdh played a pivotal role in maintaining nitrogen removal performance at 15℃.These findings suggest that nZVI@BC has the potential to enhance the resistance of low-nitrogen anammox processes to low temperatures,making it a valuable approach for practical applications in low-nitrogen and low-temperature wastewater treatment. 展开更多
关键词 Anammox nZVI@BC Low temperatures Community structure Functional gene
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Effects of residual elements on the microstructure and mechanical properties of a Q&P steel 认领 引用 被引量：7
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作者 Qing Zhu Junheng Gao +10 位作者 Haitao Zhao Dikai Guan Yunfei Zhang Yuhe Huang Shuai Li Wei Yang Kai Wang Shuize Wang Honghui Wu Chaolei Zhang Xinping Mao 《Journal of Materials Science & Technology》 SCIE EI CAS CSCD 2025年第18期143-154,共12页
Producing steel requires large amounts of energy to convert iron ores into steel,which often comes from fossil fuels,leading to carbon emissions and other pollutants.Increasing scrap usage emerges as one of the most e... Producing steel requires large amounts of energy to convert iron ores into steel,which often comes from fossil fuels,leading to carbon emissions and other pollutants.Increasing scrap usage emerges as one of the most effective strategies for addressing these issues.However,typical residual elements(Cu,As,Sn,Sb,Bi,etc.)inherited from scrap could significantly influence the mechanical properties of steel.In this work,we investigate the effects of residual elements on the microstructure evolution and mechanical properties of a quenching and partitioning(Q&P)steel by comparing a commercial QP1180 steel(referred to as QP)to the one containing typical residual elements(Cu+As+Sn+Sb+Bi<0.3wt%)(referred to as QP-R).The results demonstrate that in comparison with the QP steel,the residual elements significantly refine the prior austenite grain(9.7μm vs.14.6μm)due to their strong solute drag effect,leading to a higher volume fraction(13.0%vs.11.8%),a smaller size(473 nm vs.790 nm)and a higher average carbon content(1.26 wt%vs.0.99 wt%)of retained austenite in the QP-R steel.As a result,the QP-R steel exhibits a sustained transformation-induced plasticity(TRIP)effect,leading to an enhanced strain hardening effect and a simultaneous improvement of strength and ductility.Grain boundary segregation of residual elements was not observed at prior austenite grain boundaries in the QP-R steel,primarily due to continuous interface migration during austenitization.This study demonstrates that the residual elements with concentrations comparable to that in scrap result in significant microstructural refinement,causing retained austenite with relatively higher stability and thus offering promising mechanical properties and potential applications. 展开更多
关键词 Residual elements Q&P steel Retained austenite Strain-hardening rate
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Copious intragranular B2 nanoprecipitation me diate d high strength and large ductility in a fully recrystallized ultralight steel 认领 引用 被引量：2
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作者 Xiaoxiao Geng Junheng Gao +5 位作者 Yuhe Huang Shuize Wang Haitao Zhao Honghui Wu Chaolei Zhang Xinping Mao 《Journal of Materials Science & Technology》 SCIE EI CAS CSCD 2025年第23期76-85,共10页
High-strength Fe-Mn-Al-C-Ni low-density steels are highly desirable in lightweight transportation,safe infrastructure,and advanced energy applications.However,these steels generally suffer from limited ductility owing... High-strength Fe-Mn-Al-C-Ni low-density steels are highly desirable in lightweight transportation,safe infrastructure,and advanced energy applications.However,these steels generally suffer from limited ductility owing to the formation of coarse B2 particles at grain boundaries.In this study,we proposed a strategy to introduce copious intragranular B2 nanoprecipitates within fully-recrystallized fine austenitic grains in a Fe-26Mn-11Al-0.9C-5Ni ultralight steel by a simple cold rolling and annealing process.Compared with steel where B2 particles are mainly distributed at grain boundaries,the yield strength and ultimate tensile strength of this steel increased from 768 MPa and 1100 MPa to 954 MPa and 1337 MPa,respectively,whereas the total elongation increased from 38%to 50%.The higher yield strength was primarily due to the synergistic strengthening effect of intragranular B2 nanoprecipitates and grain refinement.The excellent ductility and sustained work hardening were mainly attributed to the strong dislocation storage capability mediated by the intragranular B2 nanoprecipitates and the greater dynamic slip band refinement strengthening effect.Hence,the achievement of copious intragranular B2 nanoprecipitation in fully recrystallized ultralight steel offers an effective pathway for developing lightweight materials with high strength and large ductility. 展开更多
关键词 Ultralight steel Intragranular B2 nanoprecipitation Grain refinement Strengthening Dislocation storage
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Key Challenges and Research Directions for Space-Air-Ground Integrated Emergency Communication Networks 认领 引用 被引量：1
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作者 Bo Xu Haitao Zhao +1 位作者 Jiawen Kang Dusit Niyato 《Engineering》 SCIE EI CSCD 2025年第11期52-55,共4页
In recent years,intensified environmental pollution and climate change have increasingly exposed the world to natural disasters such as earthquakes and floods,resulting in substantial economic losses[1].These disaster... In recent years,intensified environmental pollution and climate change have increasingly exposed the world to natural disasters such as earthquakes and floods,resulting in substantial economic losses[1].These disasters frequently damage terrestrial communication infrastructures,making the rapid deployment of emergency communication networks in affected areas critical in increasing rescue efficiency[2]. 展开更多
关键词 research directions space air ground integrated emergency communication networks terrestrial communication infrastructuresmaking key challenges environmental pollution natural disasters climate change
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Current status of management of immune-related adverse events and practical needs for oncologist education 认领 引用 被引量：1
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作者 Binhe Tian Yuanmei Yang +4 位作者 Shuman Kuang Mingjian Piao Chengjie Li Haitao Zhao Hanping Wang 《Cancer Biology & Medicine》 SCIE CAS CSCD 2025年第12期1515-1536,共22页
Immune checkpoint inhibitors have markedly improved outcomes in patients with multiple advanced malignancies.However,their widespread use has markedly increased the incidence of immune-related adverse events(irAEs).ir... Immune checkpoint inhibitors have markedly improved outcomes in patients with multiple advanced malignancies.However,their widespread use has markedly increased the incidence of immune-related adverse events(irAEs).irAEs can affect a wide range of organ systems and are characterized by heterogeneous onset,broad toxicity spectra,and complex management requirements,thus ultimately impairing treatment continuation and patient quality of life.This review systematically summarizes the epidemiological features,clinical progression,and current management of irAEs.Existing guidelines largely focus on acute toxicities but have not provided structured strategies for chronic,delayed-onset,or multisystem irAEs.Moreover,clinical practice is hampered by incomplete multidisciplinary collaboration,insufficient training of oncologists,and fragmented treatment pathways,all of which limit the efficacy of irAE management.We propose incorporating irAE management into core oncology training and call for the establishment of comprehensive interdisciplinary frameworks to ensure the standardized long-term use of immunotherapy. 展开更多
关键词 Immune checkpoint inhibitors immune-related adverse events multidisciplinary management oncologists medical education
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Recent developments in low-expansion alloys for high-performance applications 认领 引用 被引量：1
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作者 Zelin Zhang Chunlei Shang +7 位作者 Hong-Hui Wu Chaolei Zhang Faguo Hou Haoliang Wang Shuize Wang Junheng Gao Haitao Zhao Xinping Mao 《Rare Metals》 SCIE EI CAS CSCD 2025年第10期7088-7105,共18页
The growing demand for low-expansion alloys in high-tech industries such as aerospace,electronics,communications,and healthcare underscores the necessity of enhancing their performance under extreme operating conditio... The growing demand for low-expansion alloys in high-tech industries such as aerospace,electronics,communications,and healthcare underscores the necessity of enhancing their performance under extreme operating conditions.This review explores the influence of alloy composition and processing techniques on the key properties of low-expansion alloys,including strength,operating temperature range,magnetic properties,corrosion resistance,and thermal conductivity.The role of microalloying and the optimization of processing parameters in improving these properties are discussed,with an emphasis on the underlying mechanisms and the intricate relationships between composition,processing,and properties.Future breakthroughs in studying low-expansion alloys are anticipated through the use of multi-functional databases,high-throughput experiments or calculations,and machine learning for multi-objective optimization.This work provides insightful perspectives and practical guidance for advancing low-expansion alloys in both academic research and industrial applications. 展开更多
关键词 Low-expansion alloy Wide temperature range Magnetic properties Corrosion resistance Thermal conductivity
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Study on the Seepage Characteristics of Deep Tight Reservoirs Considering the Effects of Creep 认领 引用 被引量：1
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作者 Yongfu Liu Haitao Zhao +4 位作者 Xingliang Deng Baozhu Guan Jing Li Chengqiang Yang Guipeng Huang 《Energy Engineering》 EI 2025年第5期1735-1754,共20页
The seepage characteristics of shale reservoirs are influenced not only by multi-field coupling effects such as stress field,temperature field,and seepage field but also exhibit evident creep characteristics during oi... The seepage characteristics of shale reservoirs are influenced not only by multi-field coupling effects such as stress field,temperature field,and seepage field but also exhibit evident creep characteristics during oil and gas exploitation.The complex fluid flow in such reservoirs is analyzed using a combination of theoretical modeling and numerical simulation.This study develops a comprehensive mathematical model that integrates the impact of creep on the seepage process,with consideration of factors including stress,strain,and time-dependent deformation.The model is validated through a series of numerical experiments,which demonstrate the significant influence of creep on the seepage behavior.The results indicate that the rock mechanical parameters and creep constitutive model were determined through triaxial compression tests and uniaxial creep tests.A creep-seepage coupling control equation for shale was established based on the Burgers creep model.The absolute value of the volumetric strain of shale increases rapidly in the initial creep stage,and the increase in vertical stress accelerates the rock’s creep deformation.During the deceleration creep stage,the volumetric strain of the reservoir increases rapidly,leading to a significant decrease in permeability.In the stable creep stage,the pores and fractures in the rock are further compressed,causing a gradual reduction in permeability,which eventually stabilizes. 展开更多
关键词 Tight reservoir mechanical parameter creep model multi-field coupling seepage characteristics
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Nitrogen addition decouples the microbial necro-mass from soil organic carbon formation in a temperate grassland 认领 引用
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作者 Huanhuan Cheng Yingbin Li +11 位作者 Shuo Li Tianran Sun Guoxiang Niu Qi Li Junjie Yang Yanxia Ma Yingzhi Gao Qiang Yu Haitao Zhao Qiushi Ning Jing Ju Xingguo Han 《Journal of Environmental Sciences》 SCIE EI CAS CSCD 2025年第10期200-212,共13页
Increasing anthropogenic nitrogen(N)inputs has profoundly altered soil microbial necromass carbon(MNC),which serves as a key source of soil organic carbon(SOC).Yet,the response pattern of MNC and its contribution to S... Increasing anthropogenic nitrogen(N)inputs has profoundly altered soil microbial necromass carbon(MNC),which serves as a key source of soil organic carbon(SOC).Yet,the response pattern of MNC and its contribution to SOC across a wide range of N addition rates,remain elusive.In a temperate grassland with six years'consecutive N addition spanning seven rates(0-50 g N/(m2·year))in Inner Mongolia,China,we explored the responses of soil MNC and its contribution to SOC.The soil MNC showed a hump-shaped pattern to increasing N addition rates,with the N saturation threshold at 18.07 g N/(m2·year).The soil MNC was driven by nematode abundance and the ratio of bacterial to fungal biomass below the N threshold,and by plant biomass allocation pattern and diversity above the N threshold.The contribution of soil MNC to SOC declined with increasing N addition rates,and was mainly regulated by the ratio of MNC to mineral-associated organic carbon and plant diversity and the ratio of bacterial to fungal biomass.In addition,the soil MNC and SOC differentially responded to N addition and were mediated by disparate biological and geochemical mechanisms,leading to the decoupled MNC production from SOC formation.Together,in this N-enriched temperate grassland,the soilmicrobial necro-mass production tends to be insufficient as a general explanation linking SOC formation.This study expands the mechanistic comprehension of the connections between external N input and soil carbon sequestration. 展开更多
关键词 Nitrogen addition Microbial necro-mass Plant diversity Nematode Acidification Soil particulate and mineral-associated organic carbon
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Toward Wisdom-Evolutionary and Primitive-Concise 6G:A New Paradigm of Semantic Communication Networks 认领 引用 被引量：92
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作者 Ping Zhang Wenjun Xu +8 位作者 Hui Gao Kai Niu Xiaodong Xu Xiaoqi Qin Caixia Yuan Zhijin Qin Haitao Zhao Jibo Wei Fangwei Zhang 《Engineering》 SCIE EI CAS CSCD 2022年第1期60-73,共14页
The sixth generation(6G)mobile networks will reshape the world by offering instant,efficient,and intelligent hyper-connectivity,as envisioned by the previously proposed Ubiquitous-X 6G networks.Such hyper-massive and ... The sixth generation(6G)mobile networks will reshape the world by offering instant,efficient,and intelligent hyper-connectivity,as envisioned by the previously proposed Ubiquitous-X 6G networks.Such hyper-massive and global connectivity will introduce tremendous challenges into the operation and management of 6G networks,calling for revolutionary theories and technological innovations.To this end,we propose a new route to boost network capabilities toward a wisdom-evolutionary and primitive-concise network(WePCN)vision for the Ubiquitous-X 6G network.In particular,we aim to concretize the evolution path toward the WePCN by first conceiving a new semantic representation framework,namely semantic base,and then establishing an intelligent and efficient semantic communication(IE-SC)network architecture.In the IE-SC architecture,a semantic intelligence plane is employed to interconnect the semantic-empowered physical-bearing layer,network protocol layer,and application-intent layer via semantic information flows.The proposed architecture integrates artificial intelligence and network technologies to enable intelligent interactions among various communication objects in 6G.It features a lower bandwidth requirement,less redundancy,and more accurate intent identification.We also present a brief review of recent advances in semantic communications and highlight potential use cases,complemented by a range of open challenges for 6G. 展开更多
关键词 6G Semantic information Semantic communication Intelligent communication
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Machine Learning‑Enhanced Flexible Mechanical Sensing 认领 引用 被引量：31
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作者 Yuejiao Wang Mukhtar Lawan Adam +4 位作者 Yunlong Zhao Weihao Zheng Libo Gao Zongyou Yin Haitao Zhao 《Nano-Micro Letters》 SCIE EI CAS CSCD 2023年第4期190-222,共33页
To realize a hyperconnected smart society with high productivity,advances in flexible sensing technology are highly needed.Nowadays,flexible sensing technology has witnessed improvements in both the hardware performan... To realize a hyperconnected smart society with high productivity,advances in flexible sensing technology are highly needed.Nowadays,flexible sensing technology has witnessed improvements in both the hardware performances of sensor devices and the data processing capabilities of the device’s software.Significant research efforts have been devoted to improving materials,sensing mechanism,and configurations of flexible sensing systems in a quest to fulfill the requirements of future technology.Meanwhile,advanced data analysis methods are being developed to extract useful information from increasingly complicated data collected by a single sensor or network of sensors.Machine learning(ML)as an important branch of artificial intelligence can efficiently handle such complex data,which can be multi-dimensional and multi-faceted,thus providing a powerful tool for easy interpretation of sensing data.In this review,the fundamental working mechanisms and common types of flexible mechanical sensors are firstly presented.Then how ML-assisted data interpretation improves the applications of flexible mechanical sensors and other closely-related sensors in various areas is elaborated,which includes health monitoring,human-machine interfaces,object/surface recognition,pressure prediction,and human posture/motion identification.Finally,the advantages,challenges,and future perspectives associated with the fusion of flexible mechanical sensing technology and ML algorithms are discussed.These will give significant insights to enable the advancement of next-generation artificial flexible mechanical sensing. 展开更多
关键词 Flexible mechanical sensors Machine learning Artificial intelligence Data processing
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Highly Sensitive Pseudocapacitive Iontronic Pressure Sensor with Broad Sensing Range 认领 引用 被引量：23
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作者 Libo Gao Meng Wang +6 位作者 Weidong Wang Hongcheng Xu Yuejiao Wang Haitao Zhao Ke Cao Dandan Xu Lei Li 《Nano-Micro Letters》 SCIE EI CAS CSCD 2021年第9期209-222,共14页
Flexible pressure sensors are unprecedentedly studied on monitoring human physical activities and robotics.Simultaneously,improving the response sensitivity and sensing range of flexible pressure sensors is a great ch... Flexible pressure sensors are unprecedentedly studied on monitoring human physical activities and robotics.Simultaneously,improving the response sensitivity and sensing range of flexible pressure sensors is a great challenge,which hinders the devices’practical application.Targeting this obstacle,we developed a Ti3C2Tx-derived iontronic pressure sensor(TIPS)by taking the advantages of the high intercalation pseudocapacitance under high pressure and rationally designed structural configuration.TIPS achieved an ultrahigh sen-sitivity(Smin>200 kPa−1,Smax>45,000 kPa−1)in a broad sensing range of over 1.4 MPa and low limit of detection of 20 Pa as well as stable long-term working durability for 10,000 cycles.The practical application of TIPS in physical activity monitoring and flexible robot manifested its versatile potential.This study provides a demonstration for exploring pseudocapacitive materials for building flexible iontronic sensors with ultrahigh sensitivity and sensing range to advance the development of high-performance wearable electronics. 展开更多
关键词 Iontronic sensor Flexible electronics Pressure sensor Pseudocapacitance Ti3C2TxMXene
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First-principle study on the segregation and strengthening behavior of solute elements at grain boundary in BCC iron 认领 引用 被引量：9
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作者 Feiyang Wang Hong-Hui Wu +8 位作者 Xiaoye Zhou Penghui Bai Chunlei Shang Shuize Wang Guilin Wu Junheng Gao Haitao Zhao Chaolei Zhang Xinping Mao 《Journal of Materials Science & Technology》 SCIE EI CAS CSCD 2024年第22期247-261,共15页
Grain boundary(GB)significantly influences the mechanical properties of metal structural materials,yet the effect of solutes on GB modification and the underlying atomic mechanisms of solute segregation and strengthen... Grain boundary(GB)significantly influences the mechanical properties of metal structural materials,yet the effect of solutes on GB modification and the underlying atomic mechanisms of solute segregation and strengthening in iron-based alloys remain insufficiently explored.To address this research gap,we conducted a comprehensive investigation into the segregation and strengthening effect of 33 commonly occurring solutes in iron-based alloys,with a specific focus on the body-centered cubic(BCC)iron5(310)GB,utilizing first-principle calculations.Our findings reveal a negative linear correlation between solute segregation energy and atomic radius,highlighting the crucial role of atomic radius and electronic structure in determining GB strength.Moreover,through analyzing the relationship between strengthening energy and segregation energy,it was found that the elements Ni,Co,Ti,V,Mn,Nb,Cr,Mo,W,and Re are significant enhancers of GB strength upon segregation.This study aims to provide theoretical guidance for selecting optimal doping elements in BCC iron-based alloys. 展开更多
关键词 Grain boundary Iron-based alloys First-principle calculations Segregation energy Strengthening energy
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