关键词中包括 machine learning 的文章

1 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](343)[pdf 10457KB](8)

2 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](326)[pdf 41012KB](13)

3 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](1229)[pdf 10182KB](942)

4 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](660)[pdf 4798KB](344)

5 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](1274)[pdf 9708KB](1306)

6 Attribute Prediction of Aluminum Alloy Based on Machine Learning 左厚辰1，江永全*2，杨燕2 2025年06 [90－99][Abstract](2014)()

7 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](1361)[pdf 7282KB](619)

8 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](3335)[pdf 9915KB](1346)

9 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](3913)[pdf 9299KB](2108)

10 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](5477)[pdf 11147KB](3819)

11 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](5106)[pdf 17312KB](3438)