关键词中包括 machine learning 的文章

1 Recent Progress on Long?time Dynamics Simulation of Radiation Damage in Nuclear Materials 徐彪，林也平，郭龙，邓辉球 2026年11 [70－79][Abstract](129)()

2 Application of Acoustic Emission Technology in Damage Detection of Carbon Fiber Composite Materials 段继森，张建超，郝如江，李鹤飞 2026年09 [939－953][Abstract](117)[pdf 15011KB](94)

3 esearch on Semi-Solid Process of High-Strength Mg-Zn-Y-Zr Alloy Based on Machine Learning 曾崎，王少阳，张英波，朱凯，胡云峰 2026年08 [808－812][Abstract](1339)[pdf 7925KB](138)

4 Research Progress of Machine Learning Aided Titanium Alloys Design 张 闫，薛德祯，辛社伟，王 晓，周 伟，潘 曦，李星吾，张冰洁，郝梦园 2025年04 [319－329][Abstract](4054)[pdf 10457KB](3046)

5 Current Status and Future Prospects of Material Databases: Innovative Applications Led by AI Technology 冯建发, 王畅畅, 苏航, 宿彦京 2026年02 [89－101][Abstract](2450)[pdf 6388KB](968)

6 Research Progress of Large Language Models in the Field of Materials Science 闫姿霓，饶梓元，曾小勤 2025年05 [409－423][Abstract](2984)[pdf 17676KB](1979)

7 Application Progress of Machine Learning Interatomic Potential Molecular Dynamics Simulations in the Research of Electrochemical Energy Storage Materials 林奕希，蒋雨桥，冯相民，要腾宇，夏颖慧，刘振辉，郑明波，申来法，许真铭 2025年04 [330－348][Abstract](2512)[pdf 41012KB](1581)

8 Applications of Machine Learning in Lightweight Alloy Research 张思雨；李日 2025年11 [1009－1017][Abstract](2025)[pdf 7863KB](1450)

9 Quantitative Analysis Techniques for High-Entropy Alloy Images Based on Image Processing 张尊帅, 刘昱含, 郎志远, 周生华, 杨炯 2025年07 [622－628][Abstract](2157)[pdf 5555KB](1646)

10 Creep Life Prediction of Ni-Based Single Crystal Superalloys by Physical Metallurgy Information Guided Machine Learning 付佳博1，王晨充1，MATEO Carlos Gracia2, CARABALLO Isaac Toda2, CABALLERO Francisca Garcia2，于皓1 2023年第09期 [722－731][Abstract](3312)[pdf 10182KB](2626)

11 Optimal Design of Microwave Absorbing Material of Carbonyl Iron/Ferroferric Oxide Composite via Machine Learning 仲陆祎，权斌，车仁超，陆文聪 2024年第07期 [652－657][Abstract](2218)[pdf 4798KB](1748)

12 Application of Machine Learning in Steel Materials: A Survey 王海伟1,2，叶波1,2，冯晶3,4，种晓宇3,4 2023年第10期 [806－813][Abstract](3955)[pdf 9708KB](3775)

13 Materials Design of Perovskite Manganates Based on Machine Learning 卢凯亮1，畅东平1，纪晓波2，陆文聪1,2 2023年第08期 [625－630][Abstract](3205)[pdf 7282KB](1994)

14 Machine Learning Prediction Model for Microstructure-Tensile Properties Relationship of Superalloys 刘芳宁，王越，孙瑞侠 2022年第11期 [938－946][Abstract](5736)[pdf 9915KB](3163)

15 Research Progress of Machine Learning Aided High Entropy Alloy Design 赵鼎祺，乔珺威，吴玉程 2021年第07期 [508－517][Abstract](5901)[pdf 9299KB](4196)

16 Data-Driven Designing of Microstructures and Properties of Magnesium Alloys 曾小勤，谢天，应韬，朱虹，刘言伟，王乐耘，丁文江 2020年第1期 [1－11][Abstract](7784)[pdf 11147KB](5826)

17 Machine Learning Assisted High-Throughput Experiments Accelerates the Composition Design of Hard High-Entropy Alloy CoxCryTizMouWv 王炯1，肖斌2，刘轶1,2 2020年第04期 [269－277][Abstract](7161)[pdf 17312KB](5583)