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Editorial for the Special Issue on Sustainable and High-Performance Structural Materials 认领 引用
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作者 Qingrui Yue Surendra P.Shah Jiaping Liu 《Engineering》 SCIE EI CSCD 2026年第6期1-2,共2页
Cement-based materials and fiber-reinforced polymer(FRP)composites are fundamental material families in modern construc-tion.As structural materials,both occupy important positions in terms of global production volume... Cement-based materials and fiber-reinforced polymer(FRP)composites are fundamental material families in modern construc-tion.As structural materials,both occupy important positions in terms of global production volume,economic contribution,and carbon footprint.Cement-based materials are the most widely manufactured materials on Earth,with approximately 40 billion tonnes of cement produced annually,accounting for 7%–8%of glo-bal carbon dioxide(CO2)emissions.On the other hand,owing to unique advantages including high specific strength,excellent cor-rosion resistance,and design flexibility,FRP composites are garner-ing widespread attention in civil engineering applications.Both materials are being significantly advanced in terms of sustainabil-ity and high performance through cutting-edge studies.The key directions of recent research in this field involve simultaneously reducing embodied carbon,extending structural life,and enabling hybrid systems. 展开更多
关键词 hybrid systems fiber reinforced polymer composites structural materialsboth cement based materials structural materials sustainable materials structural life high performance materials
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Cs3V9Te13:A New Vanadium-Based Material with a Reuleaux-Triangle-Like Lattice and a Possible Phase Transition near 48 K 认领 引用
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作者 Zhen Zhao Jianping Sun +17 位作者 Xin-Wei Yi Tong Liu Lin Zhu Hanming Ma Ruwen Wang Hua Zhang Yuhang Zhang Haisen Liu Xiaoli Ma Hui Guo Xiao Lin Lihong Bao Xiaohui Yu Wu Zhou Jinguang Cheng Gang Su Haitao Yang Hong-Jun Gao 《Chinese Physics Letters》 SCIE EI CAS CSCD 2026年第6期60-66,I0056-I0069,共7页
Exploring and synthesizing materials with new crystal structures provides an important route to discovering exotic quantum phenomena.However,materials with unconventional lattice geometries remain largely unexplored.H... Exploring and synthesizing materials with new crystal structures provides an important route to discovering exotic quantum phenomena.However,materials with unconventional lattice geometries remain largely unexplored.Here,we report the discovery of a new vanadium-based material,Cs3V9Te13,featuring a Reuleaux-triangle-like lattice composed of interwoven triangular,square,and pentagonal motifs.Electrical transport,Hall,and magnetic measurements consistently reveal an anomaly near 48 K,and this feature shows little sensitivity to the applied magnetic field.Specific-heat measurements further confirm the phase transition at 48 K,while the relatively large Sommer-feld coefficient(γ=195.6 mJ·mol−1·K−2)suggests strong electronic correlations in Cs3V9Te13.In addition,temperature-dependent X-ray diffraction results indicate no obvious structural change across 48 K.Taken together,these results suggest that the anomaly is not induced by a structural transition but may be associated with an electronic and/or magnetic phase transition.High-pressure transport measurements reveal a highly tunable electronic state in Cs3V9Te13,while first-principles calculations suggest electronic features reminiscent of kagome systems and an antiferromagnetic tendency that is progressively suppressed under pressure.These results demonstrate that this material,with its structurally novel Reuleaux-triangle-like lattice,serves as a new platform for exploring the interplay between nontrivial lattice geometry and emergent physical phenomena. 展开更多
关键词 exploring synthesizing materials discovering exotic quantum phenomenahowevermaterials Reuleaux triangle lattice magnetic measurements vanadium based material phase transition electronic transport crystal structures
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Chemical blowing strategy for three-dimensional graphene materials:Overcoming graphene restacking and integrating macro/microstructural construction 认领 引用
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作者 Kun Han Jianfei Liu +3 位作者 Qigao Cao Wan Rong Zhiwei Liu Ping Li 《International Journal of Minerals,Metallurgy and Materials》 SCIE EI CAS CSCD 2026年第6期1749-1767,共19页
Carbon materials,characterized by diverse allotropes,have played critical roles in the advancement of human civilization and industrial manufacturing.As a prominent allotrope,two-dimensional(2D)graphene materials have... Carbon materials,characterized by diverse allotropes,have played critical roles in the advancement of human civilization and industrial manufacturing.As a prominent allotrope,two-dimensional(2D)graphene materials have attracted increasing attention since their discovery owing to their exceptional properties;however,they suffer from the fundamental challenges of restacking and agglomeration,which diminish their performance in practical applications.The design of three-dimensional(3D)frameworks composed of 2D graphene sheets is considered an effective strategy to resolve these issues and enable the efficient utilization of the properties of graphene.Compared with conventional fabrication methods,such as graphene oxide assembly and template-assisted chemical vapor deposition,the chemical blowing strategy is distinguished by its low cost,facile process,and superior controllability.Despite these advantages,few review articles have focused specifically on the fabrication of 3D graphene materials via chemical blowing.This review outlines the chemical blowing strategy and clarifies the fundamentals of the blowing process,its historical evolution,and the classification of 3D graphene materials.Subsequently,the recent progress in 3D graphene foams and powders fabricated via chemical blowing is detailed,with an emphasis on the underlying synthesis chemistry.Following an analysis of the correlation between 3D graphene foam and powder materials,their design considerations and functional applications are discussed.This discussion provides recommendations for the synthesis of specific 3D graphene materials and elucidates their differences and commonalities across various application scenarios.Finally,after a brief summary,current challenges,opportunities,and future research directions for the development of chemical blowing are proposed. 展开更多
关键词 3D graphene chemical blowing graphene restacking graphene powder materials graphene foam materials 2D materials
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Research progress on active layer materials for semi-transparent organic photovoltaics 认领 引用
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作者 Hailin Yu Jiayu Wang +3 位作者 Cenqi Yan Huiliang Sun Pei Cheng Yiwang Chen 《Journal of Energy Chemistry》 SCIE EI CAS CSCD 2026年第6期60-69,I0003,共10页
Semi-transparent organic photovoltaics(STOPVs)have emerged as a highly promising technology for multifunctional,energy-efficient applications that require simultaneous power generation and visible transmittance,such a... Semi-transparent organic photovoltaics(STOPVs)have emerged as a highly promising technology for multifunctional,energy-efficient applications that require simultaneous power generation and visible transmittance,such as building-integrated photovoltaics,smart windows,and transparent electronic display.Achieving high-performance STOPVs fundamentally depends on the rational design of active layer materials that can balance power conversion efficiency(PCE)and average visible transmittance(AVT).This review provides a comprehensive summary of recent progress on active layer materials for STOPVs,with a particular focus on molecular design strategies for near-infrared(NIR)and nearultraviolet(NUV)absorbing donors and acceptors,and how these tailored absorption profiles contribute to enhanced PCE and AVT.Furthermore,we highlight key challenges and outline future research directions that will be essential for advancing STOPVs toward commercial applications. 展开更多
关键词 Semi-transparent organic photovoltaics Near-infrared absorbing donor materials Near-infrared absorbing acceptor materials Near-ultraviolet absorbing donor materials
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Collision of Chinese medicine and materials science:Interdisciplinary biomaterials'perspectives 认领 引用
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作者 Wei-kang Luo Xiao-hang Guo +3 位作者 Li-na Cao Jun Zheng Ming Luo Yang Wang 《Journal of Integrative Medicine》 SCIE CAS CSCD 2026年第2期140-153,共14页
The integration of materials science and Chinese medicine(CM)has emerged as a significant interdisciplinary field,playing a crucial role in enhancing the pharmacodynamics of CM and its derived small molecules.This fie... The integration of materials science and Chinese medicine(CM)has emerged as a significant interdisciplinary field,playing a crucial role in enhancing the pharmacodynamics of CM and its derived small molecules.This field introduces novel concepts,like carrier-based CM delivery systems and carrier-free CMbased material systems,and here we present a detailed exposition of their respective merits and drawbacks.In recent years,there has been an exponential increase in research on carrier-based drug delivery systems for CM,which are designed to optimize administration routes,improve targeted delivery precision,and enable controlled drug release.Nonetheless,these systems face critical challenges including suboptimal drug payloads,prohibitive manufacturing costs,and compromised biocompatibility.The introduction of carrier-free CM-based material system addresses these shortcomings through inherent advantages including exceptional drug-loading capacity,full-bioactive components,and superior biocompatibility.Comparative analyses demonstrate that nanonization of the active components of herbal medicines can significantly improve the permeability,solubility,stability,and targeting of the active components themselves.The intrinsic therapeutic components,eco-friendly attributes,and sustainable regenerative capacity of CM,combined with the adjustable physicochemical properties of advanced materials create unique therapeutic advantages.The advancement and optimization of CM and materials science concept have significantly bolstered the clinical application of drugs,increasingly aligning with the personalized treatment model in clinical practice.We provide an overview of the future obstacles and potential development strategies in the realm of CM-materials science with the aspiration to propel sustainable development in both CM and materials science. 展开更多
关键词 Chinese medicine Materials science Interdisciplinary subject Regenerative biomaterials Nanomaterials
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Adapting to the concrete jungle:Urbanization increases the use of anthropogenic nesting materials by Azure-winged Magpies(Cyanopica cyanus) 认领 引用
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作者 Fudong Zhou Hong Wang Jianping Liu 《Avian Research》 SCIE CAS CSCD 2026年第3期578-586,共9页
Rapid urbanization has resulted in a substantial decrease in natural habitats,posing considerable challenges to bird survival.Bird nests,which are temporary structures used for breeding,reflect adaptation strategies b... Rapid urbanization has resulted in a substantial decrease in natural habitats,posing considerable challenges to bird survival.Bird nests,which are temporary structures used for breeding,reflect adaptation strategies based on their material composition.However,how urban expansion influences the selection of nest materials—particularly the incorporation of anthropogenic nesting materials—remains poorly understood,limiting our understanding of species'adaptive strategies in human-dominated landscapes.To address this knowledge gap,this study examined the nest material characteristics of 432 Azure-winged Magpie(Cyanopica cyanus)nests in Wuhan,Hubei Province,China,to assess the influence of urbanization on nest material selection.Azure-winged Magpies utilized diverse nest materials,mainly branches,moss,soil,polyester fibers,and plastics.Furthermore,nest weight markedly varied among the urban centers,outskirts,and rural areas,with nests in urban centers and outskirts being substantially lighter than those in rural areas.Particularly,the weight of natural nest materials(NNMs)in urban centers and outskirts was considerably lower than that in rural areas,whereas the weight of anthropogenic nesting materials(ANMs)in urban centers did not markedly differ from that in rural areas but was notably higher than that in the outskirts.Across all the three areas,the NNM proportion was substantially higher than that of ANMs.Among ANMs,polyester fibers and plastics constituted relatively high proportions.Furthermore,the weight of ANMs reduced as the distance between the nests and buildings increased.Thus,urbanization may affect the nest material selection of Azure-winged Magpies,showing their behavioral adjustments to urbanization pressures and ecological strategies for using local resources.This study provides a scientific basis for urban biodiversity conservation. 展开更多
关键词 Anthropogenic nesting materials Azure-winged Magpie Natural nest materials Nest material selection Urbanization
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Deep learning material recognition based on backscattering field of target with vortex beam illumination 认领 引用
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作者 Xingling FU Xiaoqi YANG +2 位作者 Fan JIA Wei LIN Bo LIU 《Optoelectronics Letters》 EI 2026年第5期309-313,共5页
In this work,a material recognition technology based on the backscattering field of a target with vortex beam illumination is proposed to meet the application requirements of target material recognition and classifica... In this work,a material recognition technology based on the backscattering field of a target with vortex beam illumination is proposed to meet the application requirements of target material recognition and classification in laser detection.Firstly,the characteristics of the backscattering light field of the target with vortex beam illumination are analyzed,and it is proved that the spatial frequency bandwidth of the specklegram increases with the increase of the topological charge of the vortex beam,so that the features of the specklegram will become more abundant.Subsequently,an experimental setup was built to record the backscattering specklegram and establish a dataset for validation.Six typical artificial neural networks(ANNs)were used to achieve the task of target material recognition.With a dataset of 1000 samples for each of three categories,the recognition accuracy can be up to 96.89%.Finally,a comprehensive evaluation model is established when we consider the factors,including recognition accuracy,model complexity,and training time,and the performances of these ANNs are compared.Among these ANNs,ResNet-18 exhibits superior overall performance.The proposed target material recognition technique paves a new way to multi-dimensional laser detection technology. 展开更多
关键词 target material recognition material recognition backscattering light field vortex beam illumination laser detectionfirstlythe backscattering field spatial frequency bandwidth material recognition technology
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Data-Driven Materials Science Using Machine Learning and Computational Modeling 认领 引用
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作者 Manjodh Kaur Princy Randhawa +4 位作者 Jitendra Jaiswal Deepak Dubal Ravindra N.Bulakhe Deepanraj Balakrishnan Nithesh Naik 《Computers, Materials & Continua》 SCIE EI 2026年第8期90-124,共35页
This review emphasizes the growing role of artificial intelligence(AI)in transforming the materials discovery process into a data-driven and autonomous approach.It systematically traces the evolution of scientific par... This review emphasizes the growing role of artificial intelligence(AI)in transforming the materials discovery process into a data-driven and autonomous approach.It systematically traces the evolution of scientific paradigms in materials science and examines how machine learning,generative models,and AI agents are revolutionizing the design,screening,and optimization of materials.A key contribution is a detailed,step-by-step machine learning framework that guides researchers through data collection,preprocessing,feature engineering,model development,and validation,utilizing publicly available materials databases and computational tools.Additionally,the review discusses the latest advances in generative AI and autonomous research systems,highlighting their potential to enable inverse design and closed-loop experiments.It includes a tutorial case study on sodium-ion battery materials to demonstrate practical application in formation energy prediction via machine learning,along with comparisons to high-throughput screening accuracy using density functional theory(DFT).The article also addresses current challenges such as data limitations,model interpretability,and physics-based approaches.Overall,this publication serves as both a conceptual and practical guide for integrating AI into materials research,aiming to accelerate the discovery process and improve efficiency. 展开更多
关键词 Artificial intelligence materials science materials discovery energy materials computational modeling
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A novel multi-material topology design automation algorithm for a customized MATLAB and Rhino-Grasshopper plugin with a generalized solid isotropic material with penalization 认领 引用
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作者 T.T.BANH E.DAMTSAS +2 位作者 H.P.BAN M.HERRMANN D.LEE 《Applied Mathematics and Mechanics(English Edition)》 SCIE EI CSCD 2026年第6期1363-1382,共20页
Topology optimization(TO)plays an increasingly pivotal role in contemporary structural engineering,particularly in architectural realms.Despite Grasshopper's prevalence in architectural design,the seamless integra... Topology optimization(TO)plays an increasingly pivotal role in contemporary structural engineering,particularly in architectural realms.Despite Grasshopper's prevalence in architectural design,the seamless integration of structural optimization,especially with multiple materials,has remained a persistent challenge in prior research.To address this gap,this paper introduces a novel solution:Stag,a multi-material plugin for the Grasshopper ecosystem of Rhinoceros 3D.Stag effortlessly integrates multi-material analyses into workcow design by leveraging the generalized solid isotropic material with penalization(SIMP)algorithm.Tailored for architectural modeling,construction,and prototyping,Stag sets a new standard for comprehensive plugins in a familiar software environment.Moreover,this paper illustrates the seamless compatibility between Grasshopper and the generalized SIMP-based approach,utilizing MATLAB for optimization.This lays the foundation for the future development of intricate customized multi-material plugins.Designed with user-friendliness in mind,Stag provides architects and designers with an intuitive platform to efficiently optimize the material distribution within intricate structures.As part of our commitment to accessibility,the Stag plugin is freely accessible on the Food4Rhino platform,ensuring its widespread adoption and usability. 展开更多
关键词 multiple materials topology optimization(TO) generalized solid isotropic material with penalization(SIMP) Grasshopper plugin Food4Rhino
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Software-hardware co-design accelerates materials simulations 认领 引用
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作者 Xiaozhe Wang Wei Zhang En Ma 《Journal of Semiconductors》 EI CAS CSCD 2026年第7期28-31,共4页
Accurate atomistic and electronic-structure calculations based on density functional theory(DFT)and DFT-based ab initio molecular dynamics(AIMD)calculations underpin much of modern computational chemistry and material... Accurate atomistic and electronic-structure calculations based on density functional theory(DFT)and DFT-based ab initio molecular dynamics(AIMD)calculations underpin much of modern computational chemistry and materials science[1].DFT calculations offer quantitative insights into chemical bonding,charge transport,phase stability,reaction pathways,etc[2]. 展开更多
关键词 chemical bondingcharge software hardware co design density functional theory dft dft based ab initio molecular dynamics ab initio molecular dynamics aimd calculations materials simulations materials science density functional theory
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Machine learning and non-thermal external fields:A dual-track paradigm for engineering high-performance of Mg-based hydrogen storage materials 认领 引用
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作者 Panpan Zhou Lixin Chen 《Journal of Magnesium and Alloys》 SCIE EI CAS CSCD 2026年第3期1-4,共4页
Confronted with the inherent thermodynamic and kinetic challenges of Mg-based hydrogen storage materials(HSMs),research strategies have evolved from traditional alloying,nano-structuring,and catalytic modification tow... Confronted with the inherent thermodynamic and kinetic challenges of Mg-based hydrogen storage materials(HSMs),research strategies have evolved from traditional alloying,nano-structuring,and catalytic modification toward a new dual-track paradigm that integrates machine learning(ML)-based rational design with non-thermal external field(NTEF)-assisted precision regulation.ML significantly accelerates the design and screening of novel HSMs through efficient performance prediction,key descriptor extraction,and microscopic mechanism elucidation,while NTEF provides a powerful experimental means for non-equilibrium synthesis,microstructure optimization,and de-/hydrogenation behavior control by leveraging its unique high energy efficiency and tunability.These two approaches complement each other and jointly advance Mg-based HSMs toward higher performance,lower cost,and superior cycling stability,thereby establishing a solid scientific and technological foundation for safe,efficient hydrogen storage and transportation as well as large-scale hydrogen-thermal coupled application. 展开更多
关键词 Mg-based hydrogen storage materials Machine learning Non-thermal external field Material design Performance modulation
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Artificial intelligence empowering innovation in key materials for sodium-ion batteries:Machine learning driven design and optimization of cathode and anode materials 认领 引用
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作者 Jun Cong Shaohua Luo 《Journal of Energy Chemistry》 SCIE EI CAS CSCD 2026年第5期434-453,I0011,共20页
This review summarizes the cutting-edge applications of artificial intelligence(AI)technology in the development and performance optimization of key materials for sodium-ion batteries(SIBs),with a primary focus on its... This review summarizes the cutting-edge applications of artificial intelligence(AI)technology in the development and performance optimization of key materials for sodium-ion batteries(SIBs),with a primary focus on its breakthrough advancements in the innovation of cathode and anode materials.It highlights the pivotal role of AI in accelerating the discovery and optimization process of highperformance SIB materials.In the research and development of cathode materials,AI technology,through machine learning and deep learning algorithms,assists in the design of layered oxides and poly-anion compounds,optimizes the ratio of transition metals and crystal structure,and enhances the kinetics of Na+intercalation/deintercalation and structural stability.In terms of anode materials,AI technology leverages data-driven high-throughput screening strategies and microstructural modulation models to drive breakthroughs in key performance metrics such as sodium storage capacity and rate capability for hard carbon,alloy-based,and conversion-type anode materials.AI technology successfully establishes a new development paradigm of“data-driven,mechanism-embedded”,achieving full-chain coverage from atomic-scale material design to system-level performance optimization,significantly reducing development cycle and costs.Based on a summary of the current application status of AI technology in the development of SIBs materials,this review further analyzes the challenges that this field is facing,and at the same time looks forward to the development opportunities of the in-depth integration of AI and experimental research and development,providing innovative methodological support and direction guidance for promoting the industrialization process of high-performance SIBs. 展开更多
关键词 Sodium-ion batteries Cathode materials Anode materials Artificial intelligence Machine learning
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Guest Editorial for the Special Issue on Advanced Computational Modeling and Simulations for Engineering Structures and Multifunctional Materials:Bridging Theory and Practice 认领 引用
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作者 S.M.Anas Rayeh Nasr Al-Dala’ien 《Computers, Materials & Continua》 SCIE EI 2026年第7期2268-2273,共6页
1 Introduction The growing use of computational modelling, simulation tools, and data-driven methods has changedhe way engineering structures and advanced materials are studied and designed. With the increasing availa... 1 Introduction The growing use of computational modelling, simulation tools, and data-driven methods has changedhe way engineering structures and advanced materials are studied and designed. With the increasing availability of high-performance computing, artificial intelligence, and multi-scale simulation techniques,computational modelling is no longer limited to purely theoretical studies. It has now emerged as a practical design aid, allowing researchers to predict material behavior, understand complex interactions, and support engineering decisions across different material and structural scales. These developments have helped in narrowing the gap between theoretical studies and practical engineering applications. 展开更多
关键词 engineering structures practical design aid advanced materials understand complex inte computational modelling simulation tools predict material behavior artificial intelligence
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Preface to the Focus Issue on Pathways to Advanced Flexible Electronics:Materials,Structures,and Systems 认领 引用
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作者 Desheng Kong Rongrong Bao +2 位作者 La Li Chunfeng Wang Yue Liu 《Journal of Semiconductors》 EI CAS CSCD 2026年第8期1-4,共4页
Flexible electronics have established themselves as a key frontier in next-generation electronic technologies,driving sustained breakthroughs that span from material design and structural innovation to system-level in... Flexible electronics have established themselves as a key frontier in next-generation electronic technologies,driving sustained breakthroughs that span from material design and structural innovation to system-level integration. 展开更多
关键词 innovation advanced electronics materials systems flexible electronics structures integration material design structural innovation
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Pathways Toward the Sustainable Development of Polymeric Materials 认领 引用
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作者 Yu-Zhong Wang 《Engineering》 SCIE EI CSCD 2026年第3期6-10,共5页
Challenges to the sustainable development of polymeric materials,Thanks to their advantageous properties,which include low density,processability,and chemical resistance,organic polymers have become indispensable mate... Challenges to the sustainable development of polymeric materials,Thanks to their advantageous properties,which include low density,processability,and chemical resistance,organic polymers have become indispensable materials in modern society,with widespread applications across the packaging,consumer-product,textile,electrical,transportation,building-and-construction,industrial machinery,agriculture,healthcare,and other industries.Global polymer production currently exceeds 500 million tonnes annually.However,this massive scale of manufacturing and consumption has created critical sustainability challenges in terms of resource consumption and environmental impact. 展开更多
关键词 sustainable development packaging environmental impact polymeric materials polymeric materialsthanks resource consumption organic polymers consumer products
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Harnessing the Power from Ambient Moisture with Hygroscopic Materials 认领 引用 被引量：1
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作者 Daozhi Shen Fangzhou Li +1 位作者 Yanjie Su Limin Zhu 《Nano-Micro Letters》 SCIE EI CAS CSCD 2026年第4期663-699,共37页
Moisture electricity generation(MEG)has emerged as a sustainable and versatile energy-harvesting technology capable of converting ubiquitous environmental moisture into electrical energy,which holds great promise for ... Moisture electricity generation(MEG)has emerged as a sustainable and versatile energy-harvesting technology capable of converting ubiquitous environmental moisture into electrical energy,which holds great promise for renewable energy and constructing self-powered electronics.In this review,we begin by outlining the fundamental mechanisms—ion diffusion,electric double layer formation,and streaming potential—that govern charge transport for MEG in moist environments.A comprehensive survey of material innovations follows,highlighting breakthroughs in carbon-based materials,conductive polymers,hydrogels,and bio-inspired systems that enhance MEG performance,scalability,and biocompatibility.We then explore a range of device architectures,from planar and layered systems to flexible,miniaturized,and textile-integrated designs,engineered for both energy conversion and sensor integration.Key challenges are analyzed,along with strategies for overcoming them.We conclude with a forward-looking perspective on future directions,including hybrid energy systems,AI-assisted material design,and real-world deployment.This review presents a timely and comprehensive overview of MEG technologies and their trajectory toward practical and sustainable energy solutions. 展开更多
关键词 Moisture electricity generation Hydroelectricity Nanogenerators Materials design Hygroscopic material
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Emerging Role of 2D Materials in Photovoltaics:Efficiency Enhancement and Future Perspectives 认领 引用 被引量：3
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作者 Ghulam Dastgeer Muhammad Wajid Zulfiqar +7 位作者 Sobia Nisar Rimsha Zulfiqar Muhammad Imran Swagata Panchanan Subhajit Dutta Kamran Akbar Alberto Vomiero Zhiming Wang 《Nano-Micro Letters》 SCIE EI CAS CSCD 2026年第1期843-895,共53页
The growing global energy demand and worsening climate change highlight the urgent need for clean,efficient and sustainable energy solutions.Among emerging technologies,atomically thin two-dimensional(2D)materials off... The growing global energy demand and worsening climate change highlight the urgent need for clean,efficient and sustainable energy solutions.Among emerging technologies,atomically thin two-dimensional(2D)materials offer unique advantages in photovoltaics due to their tunable optoelectronic properties,high surface area and efficient charge transport capabilities.This review explores recent progress in photovoltaics incorporating 2D materials,focusing on their application as hole and electron transport layers to optimize bandgap alignment,enhance carrier mobility and improve chemical stability.A comprehensive analysis is presented on perovskite solar cells utilizing 2D materials,with a particular focus on strategies to enhance crystallization,passivate defects and improve overall cell efficiency.Additionally,the application of 2D materials in organic solar cells is examined,particularly for reducing recombination losses and enhancing charge extraction through work function modification.Their impact on dye-sensitized solar cells,including catalytic activity and counter electrode performance,is also explored.Finally,the review outlines key challenges,material limitations and performance metrics,offering insight into the future development of nextgeneration photovoltaic devices encouraged by 2D materials. 展开更多
关键词 2D materials Photovoltaics Interface engineering Work function tuning Energy harvesting
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Material removal mechanism of SiCf/SiC composites during ultrasonic-assisted scratching with vertical vibration 认领 引用 被引量：2
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作者 Zhigang DONG Guoqing YUAN +3 位作者 Yichuan RAN Haiqi SUN Jiansong SUN Yan BAO 《Chinese Journal of Aeronautics》 SCIE EI CAS CSCD 2026年第1期584-600,共17页
Ultrasonic-Assisted Grinding(UAG)is a novel manufacturing technology that shows promising promise for use in processing Ceramic Matrix Composites(CMCs).Nevertheless,analyzing the material removal process of CMCs with ... Ultrasonic-Assisted Grinding(UAG)is a novel manufacturing technology that shows promising promise for use in processing Ceramic Matrix Composites(CMCs).Nevertheless,analyzing the material removal process of CMCs with multidirectional structure during UAG is challenging,impeding the progress and improvement of the UAG process.This work examined the impact of ultrasonic vibration on the dynamic mechanical characteristics during processing.Additionally,we experimentally elucidated the material removal mechanism of CMCs during the scratching process under the influence of vertical vibration.The results indicate that the introduction of ultrasonic vibration causes a strain rate effect,resulting in a modification of the material removal mechanism,subsequently impacting the processing quality.Ultrasonic vibration increases the dynamic strength and brittleness of the fibers in CMCs,leading to more cracks at fracture,which changes from the original bending fracture to shear fracture.In addition,ultrasonic vibration can effectively inhibit the impact of scratching depth and anisotropy on the removal mechanism of CMCs,resulting in a more uniform surface of CMCs after processing. 展开更多
关键词 Ceramic-matrix composites Ultrasonic assisted scratching(UAS) Strain rate effect Dynamic mechanical property Material removal mechanism
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AI-driven design of powder-based nanomaterials for smart textiles: from data intelligence to system integration 认领 引用 被引量：3
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作者 Zihui Liang Yun Deng +12 位作者 Zhicheng Shi Xiaohong Liao Huiyi Zong Lizhi Ren Xiangzhe Li Xinyao Zeng Peiying Hu Wei Ke Bing Wu Kai Wang Jin Qian Weilin Xu Fengxiang Chen 《Advanced Powder Materials》 EI CAS CSCD 2026年第1期39-63,共25页
Artificial intelligence(AI)is emerging as a transformative enabler in the development of smart textile systems,particularly those integrating powder-based functional materials.This review highlights recent progress in... Artificial intelligence(AI)is emerging as a transformative enabler in the development of smart textile systems,particularly those integrating powder-based functional materials.This review highlights recent progress in AIguided design of carbon nanomaterials,metallic nanoparticles,and framework-based powders for applications in energy harvesting,intelligent sensing,and robotic actuation.Machine learning techniques,including supervised learning,transfer learning,and Bayesian optimization are discussed for accelerating materials discovery,enhancing integration strategies,and enabling real-time adaptive control.Emphasis is placed on how AI enables multifunctional,wearable platforms that sense,process,and respond to environmental and physiological cues with high accuracy and autonomy.Representative breakthroughs in soft robotics,haptic interfaces,and assistive devices are presented,demonstrating the synergy of AI and responsive textiles.Finally,the review outlines key challenges related to data scarcity,model generalizability,manufacturing scalability,and sustainability,while proposing future directions involving multimodal learning,autonomous experimentation,and ethics-aware design.This work offers a comprehensive outlook on next-generation AI-driven textile systems that seamlessly integrate intelligence,functionality,and wearability. 展开更多
关键词 Smart textiles Artificial intelligence Powder-based functional materials Machine learning AI-driven textile system
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