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High-energy-density lithium manganese iron phosphate for lithium-ion batteries: Progresses, challenges, and prospects

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Journal of Energy Chemistry 2025年第1期100卷 1-17页

作者： Bokun Zhang Xiaoyun Wang Shuai Wang Yan Li Libo Chen Handong Jiao Zhijing Yu Jiguo Tu State Key Laboratory of Advanced Metallurgy University of Science and Technology Beijing Research institute for Intelligent Wearable systems The Hong Kong Polytechnic University institute of Advanced Structure Technology Beijing Institute of Technology

The soaring demand for smart portable electronics and electric vehicles is propelling the advancements in high-energy–density lithium-ion *** manganese iron phosphate (LiMnxFe1-xPO4) has garnered significant attention as a promising positive electrode material for lithium-ion batteries due to its advantages of low cost,high safety,long cycle life,high voltage,good high-temperature performance,and high energy *** LiMnxFe1-xPO4has made significant breakthroughs in the past few decades,there are still facing great challenges in poor electronic conductivity and Li-ion diffusion,manganese dissolution affecting battery cycling performance,as well as low tap *** review systematically summarizes the reaction mechanisms,various synthesis methods,and electrochemical properties of LiMnxFe1-xPO4to analyze reaction processes accurately and guide material ***,the main challenges currently faced are concluded,and the corresponding various modification strategies are discussed to enhance the reaction kinetics and electrochemical performance of LiMnxFe1-xPO4,including multi-scale particle regulation,heteroatom doping,surface coating,as well as microscopic morphology ***,in view of the current research challenges faced by intrinsic reaction processes,kinetics,and energy storage applications,the promising research directions are *** importantly,it is expected to provide key insights into the development of high-performance and stable LiMnxFe1-xPO4materials,to achieve practical energy storage requirements.

关键词： Semiconductor doping

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bioinspired Ultrasensitive Flexible Strain Sensors for Real‑Time Wireless Detection of Liquid Leakage

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Nano-Micro Letters 2025年第3期17卷 310-327页

作者： Weilong Zhou Yu Du Yingying Chen Congyuan Zhang Xiaowei Ning Heng Xie Ting Wu Jinlian Hu Jinping Qu Key Laboratory of material Chemistry for Energy Conversion and Storage Ministry of EducationHubei Key Laboratory of Material Chemistry and Service Failure and Hubei Engineering Research Center for Biomaterials and Medical Protective MaterialsSchool of Chemistry and Chemical EngineeringHuazhong University of Science and TechnologyWuhan 430074People’s Republic of China School of materials Science and Engineering Wuhan Institute of TechnologyWuhan 430205People’s Republic of China Department of Biomedical Engineering City University of Hong KongHong KongSAR 999077People’s Republic of China

Liquid leakage of pipeline networks not only results in considerableresource wastage but also leads to environmental pollution and ecological *** response to this global issue, a bioinspired superhydrophobic thermoplastic polyurethane/carbon nanotubes/graphene nanosheets flexible strain sensor (TCGS) hasbeen developed using a combination of micro-extrusion compression molding andsurface modification for real-time wireless detection of liquid leakage. The TCGSutilizes the synergistic effects of Archimedean spiral crack arrays and micropores,which are inspired by the remarkable sensory capabilities of scorpions. This designachieves a sensitivity of 218.13 at a strain of 2%, which is an increase of 4300%. Additionally, it demonstrates exceptional durability bywithstanding over 5000 usage cycles. The robust superhydrophobicity of the TCGS significantly enhances sensitivity and stability indetecting small-scale liquid leakage, enabling precise monitoring of liquid leakage across a wide range of sizes, velocities, and compositionswhile issuing prompt alerts. This provides critical early warnings for both industrial pipelines and potential liquid leakage scenariosin everyday life. The development and utilization of bioinspired ultrasensitive flexible strain sensors offer an innovative and effectivesolution for the early wireless detection of liquid leakage.

关键词： Thermoplastic polyurethane bioinspired Cracks Liquid leakage Flexible strain sensor

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DEM parameter calibration of cohesive bulk materials using a simple angle of repose test

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Particuology 2019年第4期17卷 105-115页

作者： Thomas Roessler Andre Katterfeld Chair of material Handling Institute of Logistics and Material Handling Systems University of Magdeburg Universitatsplatz 239106 Magdeburg Germany

The numerical effort of discrete element method (DEM) simulations results in a general idealisation of DEM models that makes the calibration crucial to obtaining realistic simulation results. The angle of repose test has become a standard test for the calibration of DEM parameters of cohesionless bulk materials and is extensively discussed in the literature. One of the most used test methods is the pull-up test of a hollow cylinder filled with bulk material. This paper presents how this basic pull-up test can also be used for the calibration of DEM parameters of cohesive materials by changing the analysis criteria. In contrast to analysing the static angle of repose, the focus lies on the macroscopic flow behaviour during the lifting of the cylinder. Reproducible phases of flow are identified in experiments: the build-up of a stable bulk material column, the convex bending of the column, and the beginning of collapse of the column. Furthermore, the phases are independent of the size and lifting velocity. The convex bending of the bulk-material column combined with the moment of first collapse are introduced as new measurable calibration criteria. These experimental results of wet sand are used for the calibration of related DEM parameters using a simplified JKR cohesion model. The DEM calibration including an analysis algorithm that fits the experimental flow behaviour and the final selection of the relevant parameters (i.e., sliding friction coefficient, rolling friction coefficient, and cohesion energy density) is presented in detail.

关键词： Discrete element method Angle of repose Cohesive bulk material Calibration

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Predicting the inhibition efficiencies of magnesium dissolution modulators using sparse machine learning models

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npj Computational materials 2021年第1期7卷 1783-1791页

作者： Elisabeth J.Schiessler Tim Würger Sviatlana V.Lamaka Robert H.Meißner Christian J.Cyron Mikhail L.Zheludkevich Christian Feiler Roland C.Aydin institute of material systems Modeling Helmholtz-Zentrum HereonGeesthachtGermany institute of Surface Science Helmholtz-Zentrum HereonGeesthachtGermany institute of Polymers and Composites Hamburg University of TechnologyHamburgGermany institute for Continuum and material Mechanics Hamburg University of TechnologyHamburgGermany institute for materials Science Faculty of EngineeringKiel UniversityKielGermany

The degradation behaviour of magnesium and its alloys can be tuned by small organic ***,an automatic identification of effective organic additives within the vast chemical space of potential compounds needs sophisticated ***,we propose two systematic approaches of sparse feature selection for identifying molecular descriptors that are most relevant for the corrosion inhibition efficiency of chemical *** is based on the classical statistical tool of analysis of variance,the other one based on random *** demonstrate how both can—when combined with deep neural networks—help to predict the corrosion inhibition efficiencies of chemical compounds for the magnesium alloy *** particular,we demonstrate that this framework outperforms predictions relying on a random selection of molecular ***,we point out how autoencoders could be used in the future to enable even more accurate automated predictions of corrosion inhibition efficiencies.

关键词： corrosion alloy magnesium

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Mechanical properties and friction behaviors of CNT/AlSi_(10)Mg composites produced by spark plasma sintering

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International Journal of Minerals,Metallurgy and materials 2017年第5期24卷 584-593页

作者： Lin-zhi Wang Ying Liu Jiao-jiao Wu Xi Zhang Chongqing Key Laboratory of Additive Manufacturing Technology and systems Chongqing Institute of Green and Intelligent TechnologyChinese Academy of Sciences College of material Science and Engineering Sichuan University College of material Science and Engineering Southwest Jiaotong university

The mechanical properties and friction behaviors of CNT/AlSi10Mg composites produced by spark plasma sintering (SPS) were investigated. The results showed that the densities of the sintered composites gradually increased with increasing sintering temperature and that the highest microhardness and compressive strength were achieved in the specimen sintered at 450A degrees C. CNTs dispersed uniformly in the Al-Si10Mg matrix when the addition of CNTs was less than 1.5wt%. However, when the addition of CNTs exceeded 1.5wt%, the aggregation of CNTs was clearly observed. Moreover, the mechanical properties (including the densities, compressive strength, and microhardness) of the composites changed with CNT content and reached a maximum value when the CNT content was 1.5wt%. Meanwhile, the minimum average friction coefficient and wear rate of the CNT/AlSi10Mg composites were obtained with 1.0wt% CNTs.

关键词： metal matrix composites carbon nanotubes (CNTs) aluminum silicon magnesium alloys spark plasma sintering mechanical properties friction

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Towards data-efficient mechanical design of bicontinuous composites usinggenerative AI

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Theoretical & Applied Mechanics Letters 2024年第1期14卷 57-64页

作者： Milad Masrouri Zhao Qin Department of Civil and Environmental Engineering Syracuse UniversitySyracuseNY 13244USA Laboratory for Multiscale material Modelling Syracuse UniversitySyracuseNY 13244USA The bioinspired institute Syracuse UniversitySyracuseNY 13244USA

The distribution of material phases is crucial to determine the composite’s mechanical *** the full structure-mechanics relationship of highly ordered material distributions can be studied with finite number of cases,this relationship is difficult to be revealed for complex irregular distributions,preventing design of such material structures to meet certain mechanical *** noticeable developments of artificial intelligence(AI)algorithms in material design enables to detect the hidden structure-mechanics correlations which is essential for designing composite of complex *** is intriguing how these tools can assist composite ***,we focus on the rapid generation of bicontinuous composite structures together with the stress distribution in *** find that generative AI,enabled through fine-tuned Low Rank Adaptation models,can be trained with a few inputs to generate both synthetic composite structures and the corresponding von Mises stress *** results show that this technique is convenient in generating massive composites designs with useful mechanical information that dictate stiffness,fracture and robustness of the material with one model,and such has to be done by several different experimental or simulation *** research offers valuable insights for the improvement of composite design with the goal of expanding the design space and automatic screening of composite designs for improved mechanical functions.

关键词： Generative artificial intelligence Stable diffusion Composite design Phase field model Molecular dynamics simulation

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Profiling the responsiveness of focal adhesions of human cardiomyocytes to extracellular dynamic nano-topography

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Bioactive materials 2022年第4期7卷 367-377页

作者： Huaiyu Shi Xiangjun Wu Shiyang Sun Chenyan Wang Zacharias Vangelatos Ariel Ash-Shakoor Costas P.Grigoropoulos Patrick T.Mather James H.Henderson Zhen Ma Department of Biomedical&Chemical Engineering Syracuse UniversitySyracuseNY13244USA bioinspired Syracuse institute for materials and living systems Syracuse UniversitySyracuseNY13244USA Department of Mechanical Engineering University of CaliforniaBerkeleyPA94720USA Department of Chemical Engineering Bucknell UniversityLewisburgPA17837USA

Focal adhesion complexes function as the mediators of cell-extracellular matrix interactions to sense and transmit the extracellular *** studies have demonstrated that cardiomyocyte focal adhesions can be modulated by surface topographic ***,the response of focal adhesions to dynamic surface topographic changes remains *** study this dynamic responsiveness of focal adhesions,we utilized a shape memory polymer-based substrate that can produce a flat-to-wrinkle surface transition triggered by an increase of *** this dynamic culture system,we analyzed three proteins(paxillin,vinculin and zyxin)from different layers of the focal adhesion complex in response to dynamic extracellular topographic ***,we quantified the dynamic profile of cardiomyocyte focal adhesion in a time-dependent manner,which provides new understanding of dynamic cardiac mechanobiology.

关键词： Stimuli-responsive biomaterials Shape memory polymer Focal adhesion Costamere Dynamic mechanobiology Human induced pluripotent stem cells

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Hierarchically porous monoliths based on low-valence transition metal (Cu, Co, Mn) oxides:gelation and phase separation

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National Science Review 2020年第11期7卷 1656-1666页

作者： Xuanming Lu Kazuyoshi Kanamori Kazuki Nakanishi Department of Chemistry Graduate School of ScienceKyoto University institute for Integrated Cell-material Sciences Kyoto University Institute for Advanced StudyKyoto University Division aof materials Research Institute of Materials and Systems for Sustainability Nagoya University

Hierarchically porous monoliths based on copper (Cu), cobalt (Co) and manganese (Mn) oxides with three-dimensionally (3D) interconnected macropores and open nanopores were prepared using metal bromides as precursors via a sol–gel process accompanied by phase separation. The difficulty of gelation for low-valence metal cation was overcome by introducing a highly electronegative Br atom near to the metal atom to control the rates of hydrolysis and polycondensation. The 3D interconnected macropores were obtained using appropriate polymers to induce phase separation. The domain sizes of macropores and skeletons can be controlled by reaction parameters such as concentration and/or average molecular weight of polymers, and the amount of hydrochloric acid. The crystalline metal oxide monoliths with their 3D interconnected macroporous structure preserved were obtained after heat treatment in air.

关键词： hierarchically porous monolith low-valence transition metal oxide 3D interconnected macropore sol–gel process phase separation

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ELECTROCHEMICAL PROPERTIES AND MICROSTRUCTURE OF Ir-Ta-Ti METAL OXIDE COATED TITANIUM ANODES

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Acta Metallurgica Sinica(English Letters) 2001年第6期14卷 457-462页

作者： T. Y. Wang, L.K. Xu and G.Z. Chen (Qingdao Branch of Luoyang Ship material Research institute, Qingdao 266071, China) Qingdao Branch of Luoyang Ship material Research institute

Ir-Ta-Ti metal oxide coated titanium anodes prepared by thermal decomposition at different calcination temperatures were characterized by scanning electron microscopy, cyclic voltammetry, and accelerated life test, while the consumption rate of an anode was also measured in seawater. The SEM results indicate that all oxide layers exhibit a cracked-mud morphology influenced by calcination temperature. Voltammetric charge (q), obtained by integration of I-E curve, is proportional to the number of surface active sites, and can be taken as a measure of the active surface area of oxide layer. It is found that q* decreases linearly with the increase of calcination temperature, and reaches a maximum at 450℃. The anode prepared at 500℃ possesses the best anodic stability and the longest service life in 1M H2 SO4 at an anodic current density of 2A/cm2. Owing to good corrosion resistance and low consumption rate in seawater, Ir-Ta-Ti metal oxide coated titanium anodes belong to insoluble material with excellent electrocatalytic activity, which are outstanding candidates for using as anode in impressed current cathodic protection systems.

关键词： anodic stability accelerated life consumption rate cyclic voltammetry

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Organoid intelligence:Integration of organoid technology and artificial intelligence in the new era of in vitro models

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Medicine in Novel Technology and Devices 2024年第1期21卷 39-44页

作者： Huaiyu Shi Andrew Kowalczewski Danny Vu Xiyuan Liu Asif Salekin Huaxiao Yang Zhen Ma Department of Biomedical&Chemical Engineering Syracuse UniversitySyracuseNYUSA bioinspired institute for material and living systems Syracuse UniversitySyracuseNYUSA Department of Mechanical&Aerospace Engineering Syracuse UniversitySyracuseNYUSA Department of Electrical Engineering&Computer Science Syracuse UniversitySyracuseNYUSA Department of Biomedical Engineering University of North TexasDentonTXUSA

Organoid Intelligence ushers in a new era by seamlessly integrating cutting-edge organoid technology with the power of artificial ***,three-dimensional miniature organ-like structures cultivated from stem cells,offer an unparalleled opportunity to simulate complex human organ systems in *** the convergence of organoid technology and AI,researchers gain the means to accelerate discoveries and insights across various *** intelligence algorithms enable the comprehensive analysis of intricate organoid behaviors,intricate cellular interactions,and dynamic responses to *** synergy empowers the development of predictive models,precise disease simulations,and personalized medicine approaches,revolutionizing our understanding of human development,disease mechanisms,and therapeutic *** Intelligence holds the promise of reshaping how we perceive in vitro modeling,propelling us toward a future where these advanced systems play a pivotal role in biomedical research and drug development.

关键词： Organoids Machinelearning Deep learning Artificial intelligence Stem cells

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