|
|
|
题名
|
作者
|
年代
|
出处
|
被引量
|
| 1 | Perspective on gallium-based room temperature liquid metal batteries显示文摘Recent years have witnessed a rapid development of deformable devices and epidermal electronics that are in urgent request for flexible batteries.The intrinsically soft and ductile conductive electrode materials can offer pivotal hints in extending the lifespan of devices under frequent deformation.Featuring inherent liquidity,metal-licity,and biocompatibility,Ga-based room-temperature liquid metals(GBRTLMs)are potential candidates to fulfill the requirement of soft batteries.Herein,to illustrate the glamour of liquid components,high-temperature liquid metal batteries(HTLMBs)are briefly summarized from the aspects of principle,application,advantages,and drawbacks.Then,Ga-based liquid metals as main working electrodes in primary and secondary batteries are reviewed in terms of battery configurations,working mechanisms,and fiinctions.Next,Ga-based liquid metals as auxiliary working electrodes in lithium and nonlithium batteries are also discussed,which work as functional self-healing additives to alleviate the degradation and enhance the durability and capacity of the battery system.After that,Ga-based liquid metals as interconnecting electrodes in multi-scenarios including photovoltaics solar cells,generators,and supercapacitors(SCs)are interpreted,respectively.The summary and perspective of Ga-based liquid metals as diverse battery materials are also focused on.Finally,it was suggested that tremendous endeavors are yet to be made in exploring the innovative battery chemistry,inherent reaction mechanism,and multifunctional integration of Ga-based liquid metal battery systems in the coining future. | Zerong XING Junheng FU Sen CHEN Jianye GAO Ruiqi ZHAO Jing LIU | 2022 | Frontiers in Energy2022，16，1： | 3 |
| 2 | Tribological properties of high-entropy alloys:A review显示文摘Tribology,which is the study of friction,wear,and lubrication,largely deals with the service performance of structural materials.For example,newly emerging high-entropy alloys(HEAs),which exhibit excellent hardness,anti-oxidation,anti-softening ability,and other prop-erties,enrich the wear-resistance alloy family.To demonstrate the tribological behavior of HEAs systematically,this review first describes the basic tribological characteristics of single-,dual-,and multi-phase HEAs and HEA composites at room temperature.Then,it summarizes the strategies that improve the tribological property of HEAs.This review also discusses the tribological performance at elevated temperatures and provides a brief perspective on the future development of HEAs for tribological applications. | Zhuo Cheng Shuize Wang Guilin Wu Junheng Gao Xusheng Yang Honghui Wu | 2022 | International Journal of Minerals,Metallurgy and Materials2022，29，3： | 2 |
| 3 | Liquid metal hydraulics paradigm:Transmission medium and actuation of bimodal signals显示文摘In this article,room temperature gallium-based fluids(RTGFs)with unique thermal and conductive properties are proposed as a transmission fluid for the force carrying medium of hydraulics,which rectify the lack of the multi-functional hydraulic roles of liquid metal(LM).The typical physical properties of RTGFs and comparative conventional hydraulic fluids(commercial hydraulic oil and deionized water),such as thermal stability and rheological characteristics,are evaluated.Experimental and numerical methods,then,were adopted to clarify the force transmission performance of RTGFs and commercial hydraulic oils,as well as the influence of temperature fields on the viscosity of fluids.The results disclosed that the advantages of inherent flame resistance,wide liquid temperature range,and the viscosity changing slightly with temperature made RTGFs potential in finding efficient application in the hydraulics as new working fluids.Finally,for illustration,the rigid and flexible actuators driven by RTGFs were designed as hydraulic fluid and demonstrated their capabilities in grasping objects with various shapes and weights,respectively.And the tunable stiffness of such a flexible actuator was enabled via the solid-liquid phase change of LM.Additionally,a frequency-adjustable antenna was manufactured and showcased owing to the introduced transformable electromagnetic behaviors of LM.Overall,the gallium-based LM fluids with thermoelectrical and mechanical multimodal signal medium would serve as a potential candidate for future complex multifunctional signal transmission systems. | FU JunHeng GAO JianYe QN Peng LI DongDong YU DeHai SUN Peng HE ZhiZhu DENG ZhongShan LIU Jing | 2022 | Science China(Technological Sciences)2022，65，1： | 1 |
| 4 | Energy-absorbing porous materials:Bioinspired architecture and fabrication显示文摘Energy-absorbing materials are widely used in transportations,sports,and the military applications.Particularly,porous materials,including natural and artificial materials,have attracted tremendous attentions due to their light weight and excellent energy absorption capability.This review summarizes the recent progresses in the natural and artificial energy-absorbing porous materials.First,we review the typical natural porous materials including cuttlebone,bighorn sheep horn,pomelo peel,and sunflower stem pith.The architectures,energy absorption abilities,and mechanisms of these typical natural materials and their bioinspired materials are summarized.Then,we provide a review on the fabrication methods of artificial energy-absorbing porous materials,such as conventional foaming and three-dimensional(3D)printing.Finally,we address the challenges and prospects for the future development of energy-absorbing porous materials.More importantly,our review provides a direct guidance for the design and fabrication of energy-absorbing porous materials required for various engineering applications. | Junheng Zhao Meng Li Jiewei Chen Weiwei Gao Hao Bai | 2024 | Nano Research2024，17，2： | 1 |
| 5 | Martensitic twinning transformation mechanism in a metastable IVB element-based body-centered cubic high-entropy alloy with high strength and high work hardening rate显示文摘Realizing high work hardening and thus elevated strength–ductility synergy are prerequisites for the practical usage of body-centered-cubic high entropy alloys(BCC-HEAs).In this study,we report a novel dynamic strengthening mechanism,martensitic twinning transformation mechanism in a metastable refractory element-based BCC-HEA(TiZrHf)Ta(at.%)that can profoundly enhance the work hardening capability,leading to a large uniform ductility and high strength simultaneously.Different from conventional transformation induced plasticity(TRIP)and twinning induced plasticity(TWIP)strengthening mechanisms,the martensitic twinning transformation strengthening mechanism combines the best characteristics of both TRIP and TWIP strengthening mechanisms,which greatly alleviates the strengthductility trade-off that ubiquitously observed in BCC structural alloys.Microstructure characterization,carried out using X-ray diffraction(XRD)and electron back-scatter diffraction(EBSD)shows that,upon straining,α”(orthorhombic)martensite transformation,self-accommodation(SA)α”twinning and mechanicalα”twinning were activated sequentially.Transmission electron microscopy(TEM)analyses reveal that continuous twinning activation is inherited from nucleating mechanical{351}type I twins within SA“{351}”<■11>typeⅡtwinnedα”variants on{351}twinning plane by twinning transformation through simple shear,thereby accommodating the excessive plastic strain through the twinning shear while concurrently refining the grain structure.Consequently,consistent high work hardening rates of 2–12.5 GPa were achieved during the entire plastic deformation,leading to a high tensile strength of 1.3 GPa and uniform elongation of 24%.Alloy development guidelines for activating such martensitic twinning transformation strengthening mechanism were proposed,which could be important in developing new BCC-HEAs with optimal mechanical performance. | Yuhe Huang Junheng Gao Vassili Vorontsov Dikai Guan Russell Goodall David Dye Shuize Wang Qiang Zhu W.Mark Rainforth Iain Todd | 2022 | Journal of Materials Science & Technology2022，，29： | 1 |
| 6 | Atomic-scale simulations in multi-component alloys and compounds:A review on advances in interatomic potential显示文摘Multi-component alloys have demonstrated excellent performance in various applications,but the vast range of possible compositions and microstructures makes it challenging to identify optimized alloys for specific purposes.To overcome this challenge,large-scale atomic simulation techniques have been widely used for the design and optimization of multi-component alloys.The capability and reliability of large-scale atomic simulations essentially rely on the quality of interatomic potentials that describe the interactions between atoms.This work provides a comprehensive summary of the latest advances in atomic simulation techniques for multi-component alloys.The focus is on interatomic potentials,including both conventional empirical potentials and newly developed machine learning potentials(MLPs).The fitting processes for different types of interatomic potentials applied to multi-component alloys are also discussed.Finally,the challenges and future perspectives in developing MLPs are thoroughly addressed.Overall,this review provides a valuable resource for researchers interested in developing optimized multicomponent alloys using atomic simulation techniques. | Feiyang Wang Hong-Hui Wu Linshuo Dong Guangfei Pan Xiaoye Zhou Shuize Wang Ruiqiang Guo Guilin Wu Junheng Gao Fu-Zhi Dai Xinping Mao | 2023 | Journal of Materials Science & Technology2023，，34： | 0 |
| 7 | Advances in machine learning-and artificial intelligence-assisted material design of steels显示文摘With the rapid development of artificial intelligence technology and increasing material data,machine learning-and artificial intelligence-assisted design of high-performance steel materials is becoming a mainstream paradigm in materials science.Machine learning methods,based on an interdisciplinary discipline between computer science,statistics and material science,are good at discovering correlations between numerous data points.Compared with the traditional physical modeling method in material science,the main advantage of machine learning is that it overcomes the complex physical mechanisms of the material itself and provides a new perspective for the research and development of novel materials.This review starts with data preprocessing and the introduction of different machine learning models,including algorithm selection and model evaluation.Then,some successful cases of applying machine learning methods in the field of steel research are reviewed based on the main theme of optimizing composition,structure,processing,and performance.The application of machine learning methods to the performance-oriented inverse design of material composition and detection of steel defects is also reviewed.Finally,the applicability and limitations of machine learning in the material field are summarized,and future directions and prospects are discussed. | Guangfei Pan Feiyang Wang Chunlei Shang Honghui Wu Guilin Wu Junheng Gao Shuize Wang Zhijun Gao Xiaoye Zhou Xinping Mao | 2023 | International Journal of Minerals,Metallurgy and Materials2023，30，6： | 0 |
| 8 | Recent research progress on the phase-field model of microstructural evolution during metal solidification显示文摘Solidification structure is a key aspect for understanding the mechanical performance of metal alloys,wherein composition and casting parameters considerably influence solidification and determine the unique microstructure of the alloys.By following the principle of free energy minimization,the phase-field method eliminates the need for tracking the solid/liquid phase interface and has greatly accelerated the research and development efforts geared toward optimizing metal solidification microstructures.The recent progress in the application of phasefield simulation to investigate the effect of alloy composition and casting process parameters on the solidification structure of metals is summarized in this review.The effects of several typical elements and process parameters,including carbon,boron,silicon,cooling rate,pulling speed,scanning speed,anisotropy,and gravity,on the solidification structure are discussed.The present work also addresses the future prospects of phase-field simulation and aims to facilitate the widespread applications of phase-field approaches in the simulation of microstructures during solidification. | Kaiyang Wang Shaojie Lv Honghui Wu Guilin Wu Shuize Wang Junheng Gao Jiaming Zhu Xusheng Yang Xinping Mao | 2023 | International Journal of Minerals,Metallurgy and Materials2023，30，11： | 0 |
| 9 | Improved data-driven performance of Charpy impact toughness via literature-assisted production data in pipeline steel显示文摘Pipeline transportation is one of the most economical ways to transport crude oil and natural gas over long distances.High toughness is one of the important qualities of pipeline steel to ensure safe transportation,wherein a key factor characterizing toughness is Charpy impact toughness(CIT).In this work,according to the production line data provided by a steel mill and the experimental data collected in literature,two machine learning model construction strategies were proposed.One was based solely on the production line dataset,and the other was based on the production line dataset together with the literature dataset.In these two strategies,the random forest model displayed the best prediction results,the accuracy of strategy I was 0.58,and the accuracy of strategy II was 0.90,wherein literature data effectively improved the CIT prediction accuracy.Finally,an optimized CIT model based on machine learning algorithms was established.The proposed strategy of literature data-assisted production line data provides a new perspective for optimizing and predicting the performance of traditional structural materials. | SHANG ChunLei WANG ChuanJun WU HongHui LIU WenYue CHEN YiMian PAN GuangFei WANG ShuiZe WU GuiLin GAO JunHeng ZHAO HaiTao ZHANG ChaoLei MAO XinPing | 2023 | Science China(Technological Sciences)2023，66，7： | 0 |
| 10 | Enhanced nanocrystalline stability of BCC iron via copper segregation显示文摘Nanocrystalline alloys are known for their high density of grain boundaries(GBs),which results in low thermal stability and a tendency for coarsening.In this work,we investigated Fe–Cu alloys to explore the effects of Cu concentration on the thermal stability of nanocrystalline samples.Using hybrid molecular dynamics(MD)and Monte Carlo(MC)simulations,annealing treatments of nanocrystalline samples with varied Cu concentrations were conducted.The simulation results revealed that Cu atoms tended to accumulate at GBs.Subsequently,the model with Cu segregation was subjected to mechanical creep loading at various temperatures.Through the analysis of atomic structure evolution during creep deformation,it was found that Cu segregation efficiently stabilizes GBs and restricts their movement.The present findings highlight that the thermal stability of nanocrystalline Fe–Cu alloys can be effectively improved by introducing suitable Cu segregation at GBs. | Feiyang Wang Linshuo Dong Hong-Hui Wu Penghui Bai Shuize Wang Guilin Wu Junheng Gao Jiaming Zhu Xiaoye Zhou Xinping Mao | 2023 | Progress in Natural Science:Materials International2023，33，2： | 0 |
| 11 | Enhanced Hydrogen Embrittlement Resistance via Cr Segregation in Nanocrystalline Fe-Cr Alloys显示文摘Hydrogen is a clean fuel with numerous sources,yet the hydrogen industry is plagued by hydrogen embrittlement(HE)issues during the storage,transportation,and usage of hydrogen gas.HE can compromise material performance during service,leading to significant safety hazards and economic losses.In the current work,the influence of element Cr on the HE resistance of nanocrystalline Fe-Cr alloys under different hydrogen concentrations and strain rates was evaluated.With hybrid Monte Carlo(MC)and molecular dynamics(MD)simulations,it was found that Cr atoms were segregated at grain boundaries(GB)and inhibited the GB decohesion.Correspondingly,Cr segregation improved the strength and plasticity of the nanocrystalline Fe-Cr alloys,especially the HE resistance.Moreover,the Cr segregation reduced the diffusion coefficient of hydrogen and inhibited hydrogen-induced cracking.This work provided new insight into the development of iron-based alloys with high HE resistance in the future. | Linshuo Dong Feiyang Wang Hong-Hui Wu Mengjie Gao Penghui Bai Shuize Wang Guilin Wu Junheng Gao Xiaoye Zhou Xinping Mao | 2023 | Acta Metallurgica Sinica(English Letters)2023，36，12： | 0 |
| 12 | Identifying facile material descriptors for Charpy impact toughness in low-alloy steel via machine learning显示文摘High toughness is highly desired for low-alloy steel in engineering structure applications,wherein Charpy impact toughness(CIT)is a critical factor determining the toughness performance.In the current work,CIT data of low-alloy steel were collected,and then CIT prediction models based on machine learning(ML)algorithms were established.Three feature construction strategies were proposed.One is solely based on alloy composition,another is based on alloy composition and heat treatment parameters,and the last one is based on alloy composition,heat treatment parameters,and physical features.A series of ML methods were used to effectively select models and material descriptors from a large number of al-ternatives.Compared with the strategy solely based on the alloy composition,the strategy based on alloy composition,heat treatment parameters together with physical features perform much better.Finally,a genetic programming(GP)based symbolic regression(SR)approach was developed to establish a physical meaningful formula between the selected features and targeted CIT data. | Yimian Chen Shuize Wang Jie Xiong Guilin Wu Junheng Gao Yuan Wu Guoqiang Ma Hong-Hui Wu Xinping Mao | 2023 | Journal of Materials Science & Technology2023，，1： | 0 |
您所在的机构暂未开通此部分的功能，请联系管理员