In the context of diminishing energy resources and worsening greenhouse effect,thermoelectric materials have great potential for sustainable development due to their green and environmentally friendly characteristics....In the context of diminishing energy resources and worsening greenhouse effect,thermoelectric materials have great potential for sustainable development due to their green and environmentally friendly characteristics.Among inorganic thermoelectric materials,copper sulfide compounds have greater potential than others due to their abundant element reserves on Earth,lower usage costs,non-toxicity,and good biocompatibility.Compared to organic thermoelectric materials,the"phonon liquid-electron crystal"(PLEC)feature of copper sulfide compounds makes them have stronger thermoelectric performance.This review summarizes the latest research progress in the synthesis methods and thermoelectric modification strategies of copper sulfide compounds.It first explains the importance of the solid-phase method in the manufacture of thermoelectric devices,and then focuses on the great potential of nanoscale synthesis technology based on liquid-phase method in the preparation of thermoelectric materials.Finally,it systematically discusses several strategies for regulating the thermoelectric performance of copper sulfide compounds,including adjusting the chemical proportion of Cu_(2-x)S and introducing element doping to regulate the crystal structure,phase composition,chemical composition,band structure,and nanoscale microstructure of copper sulfide compounds,and directly affecting ZT value by adjusting conductivity and thermal conductivity.In addition,it discusses composite engineering based on copper sulfide compounds,including inorganic,organic,and metal compounds,and discusses tri-component compounds derived from sulfide copper.Finally,it discusses the main challenges and prospects of the development of copper sulfide-based thermoelectric materials,hoping that this review will promote the development of copper sulfide-based thermoelectric materials.展开更多
The convergence of materials science and biotechnology has catalyzed the development of innovative platforms,including nanotechnology,smart sensors,and supramolecular materials,significantly advancing the progress in ...The convergence of materials science and biotechnology has catalyzed the development of innovative platforms,including nanotechnology,smart sensors,and supramolecular materials,significantly advancing the progress in the field of life sciences[1−7].Among them,supramolecular materials have garnered increasing attention in life sciences owing to their distinctive self-assembly capabilities and intelligent responsiveness[8−12].展开更多
The discovery and synthesis of colloidal quantum dots(QDs)were awarded the 2023 Nobel Prize in Chemistry.QDs,as a novel class of materials distinct from traditional molecular materials and bulk materials,have rapidly ...The discovery and synthesis of colloidal quantum dots(QDs)were awarded the 2023 Nobel Prize in Chemistry.QDs,as a novel class of materials distinct from traditional molecular materials and bulk materials,have rapidly emerged in the field of optoelectronic applications due to their unique size-,composition-,surface-,and process-dependent optoelectronic properties.More importantly,their ultra-high specific surface area allows for the application of various surface chemical engineering techniques to regulate and optimize their optoelectronic performance.Furthermore,three-dimensionally confined QDs can achieve nearly perfect photoluminescence quantum yields and extended hot carrier cooling times.Particularly,their ability to be colloidally synthesized and processed using industrially friendly solvents is driving transformative changes in the fields of electronics,photonics,and optoelectronics.展开更多
Ultrafast Joule heating(JH)has emerged as a powerful and scalable platform for rapid thermal processing of advanced nanomaterials.By delivering transient,high-intensity electrical pulses,JH induces ultrafast heating a...Ultrafast Joule heating(JH)has emerged as a powerful and scalable platform for rapid thermal processing of advanced nanomaterials.By delivering transient,high-intensity electrical pulses,JH induces ultrafast heating and cooling rates on the order of milliseconds,facilitating nonequilibrium phase transitions,defect modulation,and tailored nanostructural evolution.This technique offers unprecedented control over material synthesis and has been successfully applied to a broad spectrum of functional property-driven materials,including graphene,single-atom catalysts,transition metal carbides,oxides,nitrides,phosphides,and chalcogenides,as well as complex multicomponent frameworks such as high-entropy alloys.This review systematically explores the principles governing JH,highlights recent advances in its application to diverse materials systems,and critically assesses current limitations related to process uniformity,scalability,and mechanistic understanding.Particular attention is given to its intrinsic advantages,including energy efficiency,fast rate,environmental sustainability,and compatibility with sustainable manufacturing.Finally,we propose guidance for expanding the utility of JH for new materials discovery,including integration with in-situ diagnostics,theoretical compatibility and data-driven optimization of synthesis to effectively correlate structure-property relationships.展开更多
We are delighted to introduce this Special Issue of Acta Metallurgica Sinica(English Letters)dedicated to"Thermoelectric Materials and Devices."Thermoelectric materials and devices have emerged as a promisin...We are delighted to introduce this Special Issue of Acta Metallurgica Sinica(English Letters)dedicated to"Thermoelectric Materials and Devices."Thermoelectric materials and devices have emerged as a promising technology for sustainable energy solutions,enabling efficient conversion between heat and electricity.This special collection highlights the latest advancements in the field,showcasing cutting-edge research and fostering interdisciplinary collaboration among researchers worldwide.展开更多
1.Introduction.The Ti6Al4V alloy is extensively utilized across various indus-trial sectors due to its favorable characteristics,such as lightweight design,high strength,and resistance to corrosion[1].In effort s to f...1.Introduction.The Ti6Al4V alloy is extensively utilized across various indus-trial sectors due to its favorable characteristics,such as lightweight design,high strength,and resistance to corrosion[1].In effort s to further reduce weight,functional elements like electric actuators can be substituted with intelligent materials like shape memory alloys(SMAs)[2,3].Among SMAs,NiTi alloy stands out for its sens-ing and actuation capabilities,significantly enhancing the safety and reliability of engineering structures[4,5].Integrating Ti6Al4V and NiTi alloys within a single component holds the potential to provide precise feedback on mechanical,thermal,or environmen-tal conditions[6,7].展开更多
The urgent demand for renewable energy solutions,propelled by the global energy crisis and environmental concerns,has spurred the creation of innovative materials for solar thermal storage.Photothermal phase change ma...The urgent demand for renewable energy solutions,propelled by the global energy crisis and environmental concerns,has spurred the creation of innovative materials for solar thermal storage.Photothermal phase change materials(PTPCMs)represent a novel type of composite phase change material(PCM)aimed at improving thermal storage efficiency by incorporating photothermal materials into traditional PCMs and encapsulating them within porous structures.Various porous encapsulation materials have been studied,including porous carbon,expanded graphite,and ceramics,but issues like brittleness hinder their practical use.To overcome these limitations,flexible PTPCMs using organic porous polymers—like foams,hydrogels,and porous wood—have emerged,offering high porosity and lightweight characteristics.This review examines recent advancements in the preparation of PTPCMs based on porous polymer supports through techniques like impregnation and in situ polymerization,assessing the impact of different porous polymer materials on PCM performance and clarifying the mechanisms of photothermal conversion and heat storage.Subsequently,the most recent advancements in the applications of porous polymer-based PTPCMs are systematically summarized,and future research challenges and possible solutions are discussed.This review aims to foster awareness about the potential of PTPCMs in promoting environmentally friendly energy practices and catalyzing further research in this promising field.展开更多
In the realm of biomedical materials,biomedical magnesium(Mg)alloy materials are progressively emerging as a highly salient research focal point,capitalizing on their distinctive advantages.Mg,as a unique metallic ele...In the realm of biomedical materials,biomedical magnesium(Mg)alloy materials are progressively emerging as a highly salient research focal point,capitalizing on their distinctive advantages.Mg,as a unique metallic element,by virtue of its specific properties,has ushered in novel development opportunities for the biomedical domain[1-3].Firstly,Mg manifests outstanding biodegradability.展开更多
In integrated circuit packaging,thermal interface materials(TIMs)must exhibit high thermal conductivity and electrical resistivity to prevent short circuits,enhance reliability,and ensure safety in high-voltage applic...In integrated circuit packaging,thermal interface materials(TIMs)must exhibit high thermal conductivity and electrical resistivity to prevent short circuits,enhance reliability,and ensure safety in high-voltage applications.We proposed the thermal-percolation electrical-resistive TIM incorporating binary fillers of both insulating and metallic nanowires with an orientation in the insulating polymer matrix.High thermal conductivity can be achieved through thermal percolation,while electrical non-conductivity is preserved by carefully controlling the electrical percolation threshold through metallic nanowire orientation.The electrical conductivity of the composite can be further regulated by adjusting the orientation and aspect ratio of the metallic fillers.A thermal conductivity of 10 W·m^(-1)·K^(-1)is achieved,with electrical non-conductive behavior preserved.This approach offers a pathway to realizing“thermal-percolation electrical-resistive”in hybrid TIMs,providing a strategic framework for designing high-performance TIMs.展开更多
This review presents a comprehensive and forward-looking analysis of how Large Language Models(LLMs)are transforming knowledge discovery in the rational design of advancedmicro/nano electrocatalyst materials.Electroca...This review presents a comprehensive and forward-looking analysis of how Large Language Models(LLMs)are transforming knowledge discovery in the rational design of advancedmicro/nano electrocatalyst materials.Electrocatalysis is central to sustainable energy and environmental technologies,but traditional catalyst discovery is often hindered by high complexity,fragmented knowledge,and inefficiencies.LLMs,particularly those based on Transformer architectures,offer unprecedented capabilities in extracting,synthesizing,and generating scientific knowledge from vast unstructured textual corpora.This work provides the first structured synthesis of how LLMs have been leveraged across various electrocatalysis tasks,including automated information extraction from literature,text-based property prediction,hypothesis generation,synthesis planning,and knowledge graph construction.We comparatively analyze leading LLMs and domain-specific frameworks(e.g.,CatBERTa,CataLM,CatGPT)in terms of methodology,application scope,performance metrics,and limitations.Through curated case studies across key electrocatalytic reactions—HER,OER,ORR,and CO_(2)RR—we highlight emerging trends such as the growing use of embedding-based prediction,retrieval-augmented generation,and fine-tuned scientific LLMs.The review also identifies persistent challenges,including data heterogeneity,hallucination risks,lack of standard benchmarks,and limited multimodal integration.Importantly,we articulate future research directions,such as the development of multimodal and physics-informedMatSci-LLMs,enhanced interpretability tools,and the integration of LLMswith selfdriving laboratories for autonomous discovery.By consolidating fragmented advances and outlining a unified research roadmap,this review provides valuable guidance for both materials scientists and AI practitioners seeking to accelerate catalyst innovation through large language model technologies.展开更多
Crystal structure prediction(CSP)is a foundational computational technique for determining the atomic arrangements of crystalline materials,especially under high-pressure conditions.While CSP plays a critical role in ...Crystal structure prediction(CSP)is a foundational computational technique for determining the atomic arrangements of crystalline materials,especially under high-pressure conditions.While CSP plays a critical role in materials science,traditional approaches often encounter significant challenges related to computational efficiency and scalability,particularly when applied to complex systems.Recent advances in machine learning(ML)have shown tremendous promise in addressing these limitations,enabling the rapid and accurate prediction of crystal structures across a wide range of chemical compositions and external conditions.This review provides a concise overview of recent progress in ML-assisted CSP methodologies,with a particular focus on machine learning potentials and generative models.By critically analyzing these advances,we highlight the transformative impact of ML in accelerating materials discovery,enhancing computational efficiency,and broadening the applicability of CSP.Additionally,we discuss emerging opportunities and challenges in this rapidly evolving field.展开更多
AI-driven materials databases are transforming research by integrating experimental and computational data to enhance discovery and optimization.Platforms such as Digital Catalysis Platform(DigCat)and Dynamic Database...AI-driven materials databases are transforming research by integrating experimental and computational data to enhance discovery and optimization.Platforms such as Digital Catalysis Platform(DigCat)and Dynamic Database of Solid-State Electrolyte(DDSE)demonstrate how machine learning and predictive modeling can improve catalyst and solid-state electrolyte development.These databases facilitate data standardization,high-throughput screening,and cross-disciplinary collaboration,addressing key challenges in materials informatics.As AI techniques advance,materials databases are expected to play an increasingly vital role in accelerating research and innovation.展开更多
In this review,we propose a comprehensive overview of additive manufacturing(AM)technologies and design possibilities in manufacturing metamaterials for various applications in the biomedical field,of which many are i...In this review,we propose a comprehensive overview of additive manufacturing(AM)technologies and design possibilities in manufacturing metamaterials for various applications in the biomedical field,of which many are inspired by nature itself.It describes how new AM technologies(e.g.continuous liquid interface production and multiphoton polymerization,etc)and recent developments in more mature AM technologies(e.g.powder bed fusion,stereolithography,and extrusion-based bioprinting(EBB),etc)lead to more precise,efficient,and personalized biomedical components.EBB is a revolutionary topic creating intricate models with remarkable mechanical compatibility of metamaterials,for instance,stress elimination for tissue engineering and regenerative medicine,negative or zero Poisson’s ratio.By exploiting the designs of porous structures(e.g.truss,triply periodic minimal surface,plant/animal-inspired,and functionally graded lattices,etc),AM-made bioactive bone implants,artificial tissues,and organs are made for tissue replacement.The material palette of the AM metamaterials has high diversity nowadays,ranging from alloys and metals(e.g.cobalt-chromium alloys and titanium,etc)to polymers(e.g.biodegradable polycaprolactone and polymethyl methacrylate,etc),which could be even integrated within bioactive ceramics.These advancements are driving the progress of the biomedical field,improving human health and quality of life.展开更多
Amorphous two-dimensional transition metal oxide/(oxy)hydroxide(2D TMO/TMHO)nanomaterials(NMs)have the properties of both 2D and amorphous materials,displaying outstanding physicochemical qualities.Therefore,they demo...Amorphous two-dimensional transition metal oxide/(oxy)hydroxide(2D TMO/TMHO)nanomaterials(NMs)have the properties of both 2D and amorphous materials,displaying outstanding physicochemical qualities.Therefore,they demonstrate considerable promise for use in electrocatalytic water splitting applications.Here,the primary amorphization strategies for achieving the 2D TMO/TMHO NMs are comprehensively reviewed,including low-temperature reaction,rapid reaction,exchange/doping effect,ligand modulation,and interfacial energy confinement.By integrating these strategies with various physicochemical synthesis methods,it is feasible to control the amorphization of TMO/TMHO NMs while maintaining the distinctive benefits of their 2D structures.Furthermore,it delves into the structural advantages of amorphous 2D TMO/TMHO NMs in electrocatalytic water splitting,particularly emphasizing recent advancements in enhancing their electrocatalytic performance through interface engineering.The challenges and potential future directions for the precise synthesis and practical application of amorphous 2D TMO/TMHO NMs are also provided.This review aims to establish a theoretical foundation and offer experimental instructions for developing effective and enduring electrocatalysts for water splitting.展开更多
The advancement of materials has played a pivotal role in the advancement of human civilization,and the emergence of artificial intelligence(AI)-empowered materials science heralds a new era with substantial potential...The advancement of materials has played a pivotal role in the advancement of human civilization,and the emergence of artificial intelligence(AI)-empowered materials science heralds a new era with substantial potential to tackle the escalating challenges related to energy,environment,and biomedical concerns in a sustainable manner.The exploration and development of sustainable materials are poised to assume a critical role in attaining technologically advanced solutions that are environmentally friendly,energy-efficient,and conducive to human well-being.This review provides a comprehensive overview of the current scholarly progress in artificial intelligence-powered materials science and its cutting-edge applications.We anticipate that AI technology will be extensively utilized in material research and development,thereby expediting the growth and implementation of novel materials.AI will serve as a catalyst for materials innovation,and in turn,advancements in materials innovation will further enhance the capabilities of AI and AI-powered materials science.Through the synergistic collaboration between AI and materials science,we stand to realize a future propelled by advanced AI-powered materials.展开更多
Environmental catalysis has been considered one of the important research topics.Some technologies(e.g.,photocatalysis and electrocatalysis)have been intensively developed with the advance of synthetic technologies of...Environmental catalysis has been considered one of the important research topics.Some technologies(e.g.,photocatalysis and electrocatalysis)have been intensively developed with the advance of synthetic technologies of catalytical materials.In 2019,we discussed the development trend of this field,and wrote a roadmap on this topic in Chinese Chemical Letters(30(2019)2065-2088).Nowadays,we discuss it again from a new viewpoint along this road.In this paper,several subtopics are discussed,e.g.,photocatalysis based on titanium dioxide,violet phosphorus,graphitic carbon and covalent organic frameworks,electrocatalysts based on carbon,metal-and covalent-organic framework.Finally,we hope that this roadmap can enrich the development of two-dimensional materials in environmental catalysis with novel understanding,and give useful inspiration to explore new catalysts for practical applications.展开更多
Metamaterials have exotic physical properties that rely on the construction of their underlying architecture.However,the physical properties of conventional mechanical metamaterials are permanently programmed into the...Metamaterials have exotic physical properties that rely on the construction of their underlying architecture.However,the physical properties of conventional mechanical metamaterials are permanently programmed into their periodic interconnect configurations,resulting in their lack of modularity,scalable fabrication,and programmability.Mechanical metamaterials typically exhibit a single extraordinary mechanical property or multiple extraordinary properties coupled together,making it difficult to realize multiple independent extraordinary mechanical properties.Here,the pixel mechanics metamaterials(PMMs)with multifunctional and reprogrammable properties are developed by arraying uncoupled constrained individual modular mechanics pixels(MPs).The MPs enable controlled conversion between two extraordinary mechanical properties(multistability and compression-torsion coupling deformation).Each MP exhibits 32 independent and reversible room temperature programming configurations.In addition,the programmability of metamaterials is further enhanced by shape memory polymer(SMP)and 4D printing,greatly enriching the design freedom.For the PMM consisting of m×n MPs,it has 32(m×n)independent room temperature programming configurations.The application prospects of metamaterials in the vibration isolation device and energy absorption device with programmable performance have been demonstrated.The vibration isolation frequencies of the MP before and after programming were[0 Hz-5.86 Hz],[0 Hz-13.67 Hz and 306.64 Hz-365.23 Hz].The total energy absorption of the developed PMM can be adjusted controllably in the range of 1.01 J-3.91 J.Six standard digital logic gates that do not require sustained external force are designed by controlling the closure between the modules.This design paradigm will facilitate the further development of multifunctional and reprogrammable metamaterials.展开更多
Finding materials with specific properties is a hot topic in materials science.Traditional materials design relies on empirical and trial-and-error methods,requiring extensive experiments and time,resulting in high co...Finding materials with specific properties is a hot topic in materials science.Traditional materials design relies on empirical and trial-and-error methods,requiring extensive experiments and time,resulting in high costs.With the development of physics,statistics,computer science,and other fields,machine learning offers opportunities for systematically discovering new materials.Especially through machine learning-based inverse design,machine learning algorithms analyze the mapping relationships between materials and their properties to find materials with desired properties.This paper first outlines the basic concepts of materials inverse design and the challenges faced by machine learning-based approaches to materials inverse design.Then,three main inverse design methods—exploration-based,model-based,and optimization-based—are analyzed in the context of different application scenarios.Finally,the applications of inverse design methods in alloys,optical materials,and acoustic materials are elaborated on,and the prospects for materials inverse design are discussed.The authors hope to accelerate the discovery of new materials and provide new possibilities for advancing materials science and innovative design methods.展开更多
Functionally graded materials (FGMs) are innovative materials distinguished by gradual variations in composition and structure, offering exceptional properties for diverse applications. Poly(ionic liquid)s (PILs), mer...Functionally graded materials (FGMs) are innovative materials distinguished by gradual variations in composition and structure, offering exceptional properties for diverse applications. Poly(ionic liquid)s (PILs), merging the characteristics of polymers and ionic liquids, have emerged as viable options for the development of FGMs given their tunable skeleton, ionic conductivity, and compatibility with various functional materials. This review highlights the latest advancements in the design strategies of FGMs based on porous PILs, focusing on single and multi-gradient structures. Furthermore, we also highlight their emerging applications in molecular recognition, sensing, adsorption, separation, and catalysis. By exploring the interplay between porosity, ionic functionality, and gradient architecture, this review offers perspectives on the prospects of PIL-based FGMs for tackling global challenges in energy, environment, and healthcare.展开更多
Pitch produced by the lique-faction of coal was divided into two frac-tions:soluble in toluene(TS)and insol-uble in toluene but soluble in pyridine(TI-PS),and their differences in molecu-lar structure and oxidation ac...Pitch produced by the lique-faction of coal was divided into two frac-tions:soluble in toluene(TS)and insol-uble in toluene but soluble in pyridine(TI-PS),and their differences in molecu-lar structure and oxidation activity were studied.Several different carbon materi-als were produced from them by oxida-tion in air(350℃,300 mL/min)fol-lowed by carbonization(1000℃ in Ar),and the effect of the cross-linked structure on their structure and sodium storage properties was investigated.The results showed that the two pitch fractions were obviously different after the air oxidation.The TS fraction with a low degree of condensation and abundant side chains had a stronger oxidation activity and thus introduced more cross-linked oxygen-containing functional groups C(O)―O which prevented carbon layer rearrangement during the carbonization.As a result,a disordered hard carbon with more defects was formed,which improved the electrochemical performance.Therefore,the carbon materials derived from TS(O-TS-1000)had an obvious disordered structure and a larger layer spacing,giving them better sodium storage perform-ance than those derived from the TI-PS fraction(O-TI-PS-1000).The specific capacity of O-TS-1000 was about 250 mAh/g at 20 mA/g,which was 1.67 times higher than that of O-TI-PS-1000(150 mAh/g).展开更多
文摘In the context of diminishing energy resources and worsening greenhouse effect,thermoelectric materials have great potential for sustainable development due to their green and environmentally friendly characteristics.Among inorganic thermoelectric materials,copper sulfide compounds have greater potential than others due to their abundant element reserves on Earth,lower usage costs,non-toxicity,and good biocompatibility.Compared to organic thermoelectric materials,the"phonon liquid-electron crystal"(PLEC)feature of copper sulfide compounds makes them have stronger thermoelectric performance.This review summarizes the latest research progress in the synthesis methods and thermoelectric modification strategies of copper sulfide compounds.It first explains the importance of the solid-phase method in the manufacture of thermoelectric devices,and then focuses on the great potential of nanoscale synthesis technology based on liquid-phase method in the preparation of thermoelectric materials.Finally,it systematically discusses several strategies for regulating the thermoelectric performance of copper sulfide compounds,including adjusting the chemical proportion of Cu_(2-x)S and introducing element doping to regulate the crystal structure,phase composition,chemical composition,band structure,and nanoscale microstructure of copper sulfide compounds,and directly affecting ZT value by adjusting conductivity and thermal conductivity.In addition,it discusses composite engineering based on copper sulfide compounds,including inorganic,organic,and metal compounds,and discusses tri-component compounds derived from sulfide copper.Finally,it discusses the main challenges and prospects of the development of copper sulfide-based thermoelectric materials,hoping that this review will promote the development of copper sulfide-based thermoelectric materials.
基金supported by the National Natural Science Foundation of China(22101043)the Fundamental Research Funds for the Central Universities(N2205013,N232410019,N2405013)+3 种基金Natural Science Foundation of Liaoning Province(2023-MSBA-068)the Opening Fund of State Key Laboratory of Heavy Oil Processing(SKLHOP202203006)the Key Laboratory of Functional Molecular Solids,Ministry of Education(FMS2023005)Northeastern University。
文摘The convergence of materials science and biotechnology has catalyzed the development of innovative platforms,including nanotechnology,smart sensors,and supramolecular materials,significantly advancing the progress in the field of life sciences[1−7].Among them,supramolecular materials have garnered increasing attention in life sciences owing to their distinctive self-assembly capabilities and intelligent responsiveness[8−12].
文摘The discovery and synthesis of colloidal quantum dots(QDs)were awarded the 2023 Nobel Prize in Chemistry.QDs,as a novel class of materials distinct from traditional molecular materials and bulk materials,have rapidly emerged in the field of optoelectronic applications due to their unique size-,composition-,surface-,and process-dependent optoelectronic properties.More importantly,their ultra-high specific surface area allows for the application of various surface chemical engineering techniques to regulate and optimize their optoelectronic performance.Furthermore,three-dimensionally confined QDs can achieve nearly perfect photoluminescence quantum yields and extended hot carrier cooling times.Particularly,their ability to be colloidally synthesized and processed using industrially friendly solvents is driving transformative changes in the fields of electronics,photonics,and optoelectronics.
基金supported by the National Natural Science Foundation of China(Grant No.22402030)the Fujian Province Young and Middle-Aged Teacher Education Research Project(JZ240012)+1 种基金I.S.A.acknowledges funding support from Research Ireland under the SFI-IRC Pathway Program(Grant no:22/PATH-S/10725)the SFI Industry RD&I Fellowship Program(Grant no:21/IRDIF/9876).
文摘Ultrafast Joule heating(JH)has emerged as a powerful and scalable platform for rapid thermal processing of advanced nanomaterials.By delivering transient,high-intensity electrical pulses,JH induces ultrafast heating and cooling rates on the order of milliseconds,facilitating nonequilibrium phase transitions,defect modulation,and tailored nanostructural evolution.This technique offers unprecedented control over material synthesis and has been successfully applied to a broad spectrum of functional property-driven materials,including graphene,single-atom catalysts,transition metal carbides,oxides,nitrides,phosphides,and chalcogenides,as well as complex multicomponent frameworks such as high-entropy alloys.This review systematically explores the principles governing JH,highlights recent advances in its application to diverse materials systems,and critically assesses current limitations related to process uniformity,scalability,and mechanistic understanding.Particular attention is given to its intrinsic advantages,including energy efficiency,fast rate,environmental sustainability,and compatibility with sustainable manufacturing.Finally,we propose guidance for expanding the utility of JH for new materials discovery,including integration with in-situ diagnostics,theoretical compatibility and data-driven optimization of synthesis to effectively correlate structure-property relationships.
文摘We are delighted to introduce this Special Issue of Acta Metallurgica Sinica(English Letters)dedicated to"Thermoelectric Materials and Devices."Thermoelectric materials and devices have emerged as a promising technology for sustainable energy solutions,enabling efficient conversion between heat and electricity.This special collection highlights the latest advancements in the field,showcasing cutting-edge research and fostering interdisciplinary collaboration among researchers worldwide.
基金supported by the National Natural Science Foundation of China(Grant No.52235006)the National Key Research and Development Program of China(Grant No.2022YFB4600500)+3 种基金the National Natural Science Foundation of China(Grant Nos.52025053 and 52105303)the Natural Science Foundation of Jilin Province(Grant No.20220101209JC)the Postdoctoral Fellow-ship Program of CPSF(Grant GZC20240587 and GZC20230944)the Graduate Innovation Fund of Jilin University(2024CX063).
文摘1.Introduction.The Ti6Al4V alloy is extensively utilized across various indus-trial sectors due to its favorable characteristics,such as lightweight design,high strength,and resistance to corrosion[1].In effort s to further reduce weight,functional elements like electric actuators can be substituted with intelligent materials like shape memory alloys(SMAs)[2,3].Among SMAs,NiTi alloy stands out for its sens-ing and actuation capabilities,significantly enhancing the safety and reliability of engineering structures[4,5].Integrating Ti6Al4V and NiTi alloys within a single component holds the potential to provide precise feedback on mechanical,thermal,or environmen-tal conditions[6,7].
基金supported by the National Natural Science Foundation of China(No.52103093,52103205)the Taishan Scholar Project of Shandong Province(No.tsqn202312187)+2 种基金the Natural Science Foundation of Shandong Province(ZR2024QE220)the Young Elite Scientists Sponsorship Program by CAST(No.2021QNRC001)the Jiangxi Provincial Natural Science Foundation(20232BAB214031,20242BAB25237).
文摘The urgent demand for renewable energy solutions,propelled by the global energy crisis and environmental concerns,has spurred the creation of innovative materials for solar thermal storage.Photothermal phase change materials(PTPCMs)represent a novel type of composite phase change material(PCM)aimed at improving thermal storage efficiency by incorporating photothermal materials into traditional PCMs and encapsulating them within porous structures.Various porous encapsulation materials have been studied,including porous carbon,expanded graphite,and ceramics,but issues like brittleness hinder their practical use.To overcome these limitations,flexible PTPCMs using organic porous polymers—like foams,hydrogels,and porous wood—have emerged,offering high porosity and lightweight characteristics.This review examines recent advancements in the preparation of PTPCMs based on porous polymer supports through techniques like impregnation and in situ polymerization,assessing the impact of different porous polymer materials on PCM performance and clarifying the mechanisms of photothermal conversion and heat storage.Subsequently,the most recent advancements in the applications of porous polymer-based PTPCMs are systematically summarized,and future research challenges and possible solutions are discussed.This review aims to foster awareness about the potential of PTPCMs in promoting environmentally friendly energy practices and catalyzing further research in this promising field.
文摘In the realm of biomedical materials,biomedical magnesium(Mg)alloy materials are progressively emerging as a highly salient research focal point,capitalizing on their distinctive advantages.Mg,as a unique metallic element,by virtue of its specific properties,has ushered in novel development opportunities for the biomedical domain[1-3].Firstly,Mg manifests outstanding biodegradability.
基金supported by the National Key R&D Program(Grant No.2022YFA1203-100)sponsorship by Shanghai Sailing Program(Grant No.24YF2713800)+2 种基金financial support from the Local College Capacity Building Project of Shanghai Municipal Science and Technology Commission(Grant No.20010500700)the Natural Science Foundation of Shanghai(Grant No.23ZR1424300)Shanghai Shuguang Program(Grant No.22SG56)。
文摘In integrated circuit packaging,thermal interface materials(TIMs)must exhibit high thermal conductivity and electrical resistivity to prevent short circuits,enhance reliability,and ensure safety in high-voltage applications.We proposed the thermal-percolation electrical-resistive TIM incorporating binary fillers of both insulating and metallic nanowires with an orientation in the insulating polymer matrix.High thermal conductivity can be achieved through thermal percolation,while electrical non-conductivity is preserved by carefully controlling the electrical percolation threshold through metallic nanowire orientation.The electrical conductivity of the composite can be further regulated by adjusting the orientation and aspect ratio of the metallic fillers.A thermal conductivity of 10 W·m^(-1)·K^(-1)is achieved,with electrical non-conductive behavior preserved.This approach offers a pathway to realizing“thermal-percolation electrical-resistive”in hybrid TIMs,providing a strategic framework for designing high-performance TIMs.
文摘This review presents a comprehensive and forward-looking analysis of how Large Language Models(LLMs)are transforming knowledge discovery in the rational design of advancedmicro/nano electrocatalyst materials.Electrocatalysis is central to sustainable energy and environmental technologies,but traditional catalyst discovery is often hindered by high complexity,fragmented knowledge,and inefficiencies.LLMs,particularly those based on Transformer architectures,offer unprecedented capabilities in extracting,synthesizing,and generating scientific knowledge from vast unstructured textual corpora.This work provides the first structured synthesis of how LLMs have been leveraged across various electrocatalysis tasks,including automated information extraction from literature,text-based property prediction,hypothesis generation,synthesis planning,and knowledge graph construction.We comparatively analyze leading LLMs and domain-specific frameworks(e.g.,CatBERTa,CataLM,CatGPT)in terms of methodology,application scope,performance metrics,and limitations.Through curated case studies across key electrocatalytic reactions—HER,OER,ORR,and CO_(2)RR—we highlight emerging trends such as the growing use of embedding-based prediction,retrieval-augmented generation,and fine-tuned scientific LLMs.The review also identifies persistent challenges,including data heterogeneity,hallucination risks,lack of standard benchmarks,and limited multimodal integration.Importantly,we articulate future research directions,such as the development of multimodal and physics-informedMatSci-LLMs,enhanced interpretability tools,and the integration of LLMswith selfdriving laboratories for autonomous discovery.By consolidating fragmented advances and outlining a unified research roadmap,this review provides valuable guidance for both materials scientists and AI practitioners seeking to accelerate catalyst innovation through large language model technologies.
基金supported by the National Key Research and Development Program of China(Grant No.2022YFA1402304)the National Natural Science Foundation of China(Grant Nos.12034009,12374005,52288102,52090024,and T2225013)+1 种基金the Fundamental Research Funds for the Central Universitiesthe Program for JLU Science and Technology Innovative Research Team.
文摘Crystal structure prediction(CSP)is a foundational computational technique for determining the atomic arrangements of crystalline materials,especially under high-pressure conditions.While CSP plays a critical role in materials science,traditional approaches often encounter significant challenges related to computational efficiency and scalability,particularly when applied to complex systems.Recent advances in machine learning(ML)have shown tremendous promise in addressing these limitations,enabling the rapid and accurate prediction of crystal structures across a wide range of chemical compositions and external conditions.This review provides a concise overview of recent progress in ML-assisted CSP methodologies,with a particular focus on machine learning potentials and generative models.By critically analyzing these advances,we highlight the transformative impact of ML in accelerating materials discovery,enhancing computational efficiency,and broadening the applicability of CSP.Additionally,we discuss emerging opportunities and challenges in this rapidly evolving field.
文摘AI-driven materials databases are transforming research by integrating experimental and computational data to enhance discovery and optimization.Platforms such as Digital Catalysis Platform(DigCat)and Dynamic Database of Solid-State Electrolyte(DDSE)demonstrate how machine learning and predictive modeling can improve catalyst and solid-state electrolyte development.These databases facilitate data standardization,high-throughput screening,and cross-disciplinary collaboration,addressing key challenges in materials informatics.As AI techniques advance,materials databases are expected to play an increasingly vital role in accelerating research and innovation.
基金sponsored by the Science and Technology Program of Hubei Province,China(2022EHB020,2023BBB096)support provided by Centre of the Excellence in Production Research(XPRES)at KTH。
文摘In this review,we propose a comprehensive overview of additive manufacturing(AM)technologies and design possibilities in manufacturing metamaterials for various applications in the biomedical field,of which many are inspired by nature itself.It describes how new AM technologies(e.g.continuous liquid interface production and multiphoton polymerization,etc)and recent developments in more mature AM technologies(e.g.powder bed fusion,stereolithography,and extrusion-based bioprinting(EBB),etc)lead to more precise,efficient,and personalized biomedical components.EBB is a revolutionary topic creating intricate models with remarkable mechanical compatibility of metamaterials,for instance,stress elimination for tissue engineering and regenerative medicine,negative or zero Poisson’s ratio.By exploiting the designs of porous structures(e.g.truss,triply periodic minimal surface,plant/animal-inspired,and functionally graded lattices,etc),AM-made bioactive bone implants,artificial tissues,and organs are made for tissue replacement.The material palette of the AM metamaterials has high diversity nowadays,ranging from alloys and metals(e.g.cobalt-chromium alloys and titanium,etc)to polymers(e.g.biodegradable polycaprolactone and polymethyl methacrylate,etc),which could be even integrated within bioactive ceramics.These advancements are driving the progress of the biomedical field,improving human health and quality of life.
基金supported by the National Key Research and Development Program of China(No.2018YFA0703700)the National Natural Science Foundation of China(No.12034002)the Interdisciplinary Research Project for Young Teachers of USTB(Fundamental Research Funds for the Central Universities,No.FRF-IDRY-23-033)。
文摘Amorphous two-dimensional transition metal oxide/(oxy)hydroxide(2D TMO/TMHO)nanomaterials(NMs)have the properties of both 2D and amorphous materials,displaying outstanding physicochemical qualities.Therefore,they demonstrate considerable promise for use in electrocatalytic water splitting applications.Here,the primary amorphization strategies for achieving the 2D TMO/TMHO NMs are comprehensively reviewed,including low-temperature reaction,rapid reaction,exchange/doping effect,ligand modulation,and interfacial energy confinement.By integrating these strategies with various physicochemical synthesis methods,it is feasible to control the amorphization of TMO/TMHO NMs while maintaining the distinctive benefits of their 2D structures.Furthermore,it delves into the structural advantages of amorphous 2D TMO/TMHO NMs in electrocatalytic water splitting,particularly emphasizing recent advancements in enhancing their electrocatalytic performance through interface engineering.The challenges and potential future directions for the precise synthesis and practical application of amorphous 2D TMO/TMHO NMs are also provided.This review aims to establish a theoretical foundation and offer experimental instructions for developing effective and enduring electrocatalysts for water splitting.
基金the support from Stanfordthe support from CUHKHKU
文摘The advancement of materials has played a pivotal role in the advancement of human civilization,and the emergence of artificial intelligence(AI)-empowered materials science heralds a new era with substantial potential to tackle the escalating challenges related to energy,environment,and biomedical concerns in a sustainable manner.The exploration and development of sustainable materials are poised to assume a critical role in attaining technologically advanced solutions that are environmentally friendly,energy-efficient,and conducive to human well-being.This review provides a comprehensive overview of the current scholarly progress in artificial intelligence-powered materials science and its cutting-edge applications.We anticipate that AI technology will be extensively utilized in material research and development,thereby expediting the growth and implementation of novel materials.AI will serve as a catalyst for materials innovation,and in turn,advancements in materials innovation will further enhance the capabilities of AI and AI-powered materials science.Through the synergistic collaboration between AI and materials science,we stand to realize a future propelled by advanced AI-powered materials.
基金supported by the National Natural Science Foundation of China(Nos.52272290,21972030,52073119,and 52373210)the Natural Science Foundation of Jilin Province(No.20230101029JC)+1 种基金the Fundamental Research Program of Shanxi Province(No.202303021212159)the Monash University Malaysia–ASEAN grant(No.ASE-000010)。
文摘Environmental catalysis has been considered one of the important research topics.Some technologies(e.g.,photocatalysis and electrocatalysis)have been intensively developed with the advance of synthetic technologies of catalytical materials.In 2019,we discussed the development trend of this field,and wrote a roadmap on this topic in Chinese Chemical Letters(30(2019)2065-2088).Nowadays,we discuss it again from a new viewpoint along this road.In this paper,several subtopics are discussed,e.g.,photocatalysis based on titanium dioxide,violet phosphorus,graphitic carbon and covalent organic frameworks,electrocatalysts based on carbon,metal-and covalent-organic framework.Finally,we hope that this roadmap can enrich the development of two-dimensional materials in environmental catalysis with novel understanding,and give useful inspiration to explore new catalysts for practical applications.
基金the financial support provided by the National Key R&D Program of China(2022YFB3805700)the National Natural Science Foundation of China(Grant Nos.12072094 and 12172106)+2 种基金the China Postdoctoral Science Foundation(Grant No.2023M730869)the Heilongjiang Natural Science Foundation Joint Guidance Project(Grant No.LH2023A004)the Postdoctoral Fellowship Program of CPSF(Grant No.GZB20230959)。
文摘Metamaterials have exotic physical properties that rely on the construction of their underlying architecture.However,the physical properties of conventional mechanical metamaterials are permanently programmed into their periodic interconnect configurations,resulting in their lack of modularity,scalable fabrication,and programmability.Mechanical metamaterials typically exhibit a single extraordinary mechanical property or multiple extraordinary properties coupled together,making it difficult to realize multiple independent extraordinary mechanical properties.Here,the pixel mechanics metamaterials(PMMs)with multifunctional and reprogrammable properties are developed by arraying uncoupled constrained individual modular mechanics pixels(MPs).The MPs enable controlled conversion between two extraordinary mechanical properties(multistability and compression-torsion coupling deformation).Each MP exhibits 32 independent and reversible room temperature programming configurations.In addition,the programmability of metamaterials is further enhanced by shape memory polymer(SMP)and 4D printing,greatly enriching the design freedom.For the PMM consisting of m×n MPs,it has 32(m×n)independent room temperature programming configurations.The application prospects of metamaterials in the vibration isolation device and energy absorption device with programmable performance have been demonstrated.The vibration isolation frequencies of the MP before and after programming were[0 Hz-5.86 Hz],[0 Hz-13.67 Hz and 306.64 Hz-365.23 Hz].The total energy absorption of the developed PMM can be adjusted controllably in the range of 1.01 J-3.91 J.Six standard digital logic gates that do not require sustained external force are designed by controlling the closure between the modules.This design paradigm will facilitate the further development of multifunctional and reprogrammable metamaterials.
基金funded by theNationalNatural Science Foundation of China(52061020)Major Science and Technology Projects in Yunnan Province(202302AG050009)Yunnan Fundamental Research Projects(202301AV070003).
文摘Finding materials with specific properties is a hot topic in materials science.Traditional materials design relies on empirical and trial-and-error methods,requiring extensive experiments and time,resulting in high costs.With the development of physics,statistics,computer science,and other fields,machine learning offers opportunities for systematically discovering new materials.Especially through machine learning-based inverse design,machine learning algorithms analyze the mapping relationships between materials and their properties to find materials with desired properties.This paper first outlines the basic concepts of materials inverse design and the challenges faced by machine learning-based approaches to materials inverse design.Then,three main inverse design methods—exploration-based,model-based,and optimization-based—are analyzed in the context of different application scenarios.Finally,the applications of inverse design methods in alloys,optical materials,and acoustic materials are elaborated on,and the prospects for materials inverse design are discussed.The authors hope to accelerate the discovery of new materials and provide new possibilities for advancing materials science and innovative design methods.
基金support provided by National Natural Science Foundation of China(22471018,22071008,22208018)support provided by the Shenzhen Science and Technology Program(JCYJ20220818100012025).
文摘Functionally graded materials (FGMs) are innovative materials distinguished by gradual variations in composition and structure, offering exceptional properties for diverse applications. Poly(ionic liquid)s (PILs), merging the characteristics of polymers and ionic liquids, have emerged as viable options for the development of FGMs given their tunable skeleton, ionic conductivity, and compatibility with various functional materials. This review highlights the latest advancements in the design strategies of FGMs based on porous PILs, focusing on single and multi-gradient structures. Furthermore, we also highlight their emerging applications in molecular recognition, sensing, adsorption, separation, and catalysis. By exploring the interplay between porosity, ionic functionality, and gradient architecture, this review offers perspectives on the prospects of PIL-based FGMs for tackling global challenges in energy, environment, and healthcare.
文摘Pitch produced by the lique-faction of coal was divided into two frac-tions:soluble in toluene(TS)and insol-uble in toluene but soluble in pyridine(TI-PS),and their differences in molecu-lar structure and oxidation activity were studied.Several different carbon materi-als were produced from them by oxida-tion in air(350℃,300 mL/min)fol-lowed by carbonization(1000℃ in Ar),and the effect of the cross-linked structure on their structure and sodium storage properties was investigated.The results showed that the two pitch fractions were obviously different after the air oxidation.The TS fraction with a low degree of condensation and abundant side chains had a stronger oxidation activity and thus introduced more cross-linked oxygen-containing functional groups C(O)―O which prevented carbon layer rearrangement during the carbonization.As a result,a disordered hard carbon with more defects was formed,which improved the electrochemical performance.Therefore,the carbon materials derived from TS(O-TS-1000)had an obvious disordered structure and a larger layer spacing,giving them better sodium storage perform-ance than those derived from the TI-PS fraction(O-TI-PS-1000).The specific capacity of O-TS-1000 was about 250 mAh/g at 20 mA/g,which was 1.67 times higher than that of O-TI-PS-1000(150 mAh/g).
