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    關(guān)鍵詞中包括 machine learning 的文章

1 Research Progress of Machine Learning Aided Titanium Alloys Design 張 閆，薛德禎，辛社偉，王 曉，周 偉，潘 曦，李星吾，張冰潔，郝夢園 2025年04 [319－329][Abstract](1349)[pdf 10457KB](1151)

2 Research Progress of Large Language Models in the Field of Materials Science 閆姿霓，饒梓元，曾小勤 2025年05 [409－423][Abstract](1152)[pdf 17676KB](431)

3 Application Progress of Machine Learning Interatomic Potential Molecular Dynamics Simulations in the Research of Electrochemical Energy Storage Materials 林奕希，蔣雨橋，馮相民，要騰宇，夏穎慧，劉振輝，鄭明波，申來法，許真銘 2025年04 [330－348][Abstract](1119)[pdf 41012KB](456)

4 Applications of Machine Learning in Lightweight Alloy Research 張思雨；李日 2025年11 [70－79][Abstract](261)()

5 Quantitative Analysis Techniques for High-Entropy Alloy Images Based on Image Processing 張尊帥, 劉昱含, 郎志遠, 周生華, 楊炯 2025年07 [622－628][Abstract](963)[pdf 5555KB](288)

6 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](1593)[pdf 10182KB](1386)

7 Optimal Design of Microwave Absorbing Material of Carbonyl Iron/Ferroferric Oxide Composite via Machine Learning 仲陸祎，權(quán)斌，車仁超，陸文聰 2024年第07期 [652－657][Abstract](1027)[pdf 4798KB](634)

8 Application of Machine Learning in Steel Materials: A Survey 王海偉1,2，葉波1,2，馮晶3,4，種曉宇3,4 2023年第10期 [806－813][Abstract](1765)[pdf 9708KB](2035)

9 Attribute Prediction of Aluminum Alloy Based on Machine Learning 左厚辰1，江永全*2，楊燕2 2025年12 [90－99][Abstract](2833)()

10 Materials Design of Perovskite Manganates Based on Machine Learning 盧凱亮1，暢東平1，紀曉波2，陸文聰1,2 2023年第08期 [625－630][Abstract](1738)[pdf 7282KB](907)

11 Machine Learning Prediction Model for Microstructure-Tensile Properties Relationship of Superalloys 劉芳寧，王越，孫瑞俠 2022年第11期 [938－946][Abstract](3813)[pdf 9915KB](1692)

12 Research Progress of Machine Learning Aided High Entropy Alloy Design 趙鼎祺，喬珺威，吳玉程 2021年第07期 [508－517][Abstract](4479)[pdf 9299KB](2746)

13 Data-Driven Designing of Microstructures and Properties of Magnesium Alloys 曾小勤，謝天，應(yīng)韜，朱虹，劉言偉，王樂耘，丁文江 2020年第1期 [1－11][Abstract](5995)[pdf 11147KB](4212)

14 Machine Learning Assisted High-Throughput Experiments Accelerates the Composition Design of Hard High-Entropy Alloy CoxCryTizMouWv 王炯1，肖斌2，劉軼1,2 2020年第04期 [269－277][Abstract](5621)[pdf 17312KB](4070)