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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](1351)[pdf 10457KB](1152)

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](1155)[pdf 17676KB](433)

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](1121)[pdf 41012KB](459)

4 Applications of Machine Learning in Lightweight Alloy Research 張思雨；李日 2025年11 [70－79][Abstract](265)()

5 Quantitative Analysis Techniques for High-Entropy Alloy Images Based on Image Processing 張尊帥, 劉昱含, 郎志遠(yuǎn), 周生華, 楊炯 2025年07 [622－628][Abstract](965)[pdf 5555KB](290)

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](1595)[pdf 10182KB](1387)

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](1029)[pdf 4798KB](638)

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](1767)[pdf 9708KB](2038)

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](2838)()

10 Materials Design of Perovskite Manganates Based on Machine Learning 盧凱亮1，暢東平1，紀(jì)曉波2，陸文聰1,2 2023年第08期 [625－630][Abstract](1742)[pdf 7282KB](911)

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](3815)[pdf 9915KB](1695)

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](4482)[pdf 9299KB](2750)

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](5997)[pdf 11147KB](4215)

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](5623)[pdf 17312KB](4072)