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The Fe-N system: crystal structure prediction, phase stability, and mechanical properties 期刊论文
COMPUTATIONAL MATERIALS SCIENCE, 2025, 卷号: 251, 页码: 12
作者:  Bao, Ergen;  Zhao, Jinbin;  Gao, Qiang;  Shahid, Ijaz;  Ma, Hui;  Luo, Yixiu;  Liu, Peitao;  Sun, Yan;  Chen, Xing-Qiu
收藏  |  浏览/下载：5/0  |  提交时间：2025/04/27
First-principles  Fe-N compounds  Mechanical properties  Hardness  
An intelligent matching method for the equivalent circuit of electrochemical impedance spectroscopy based on Random Forest 期刊论文
JOURNAL OF MATERIALS SCIENCE & TECHNOLOGY, 2025, 卷号: 209, 页码: 300-310
作者:  Chen, Wenbo;  Yan, Bingjun;  Xu, Aidong;  Mu, Xin;  Zhou, Xiufang;  Jiang, Maowei;  Wang, Changgang;  Li, Rui;  Huang, Jie;  Dong, Junhua
收藏  |  浏览/下载：5/0  |  提交时间：2025/04/27
Electrochemical impedance spectroscopy  Random forest  Corrosion  Equivalent circuit model  
An intelligent matching method for the equivalent circuit of electrochemical impedance spectroscopy based on Random Forest 期刊论文
JOURNAL OF MATERIALS SCIENCE & TECHNOLOGY, 2025, 卷号: 209, 页码: 300-310
作者:  Chen, Wenbo;  Yan, Bingjun;  Xu, Aidong;  Mu, Xin;  Zhou, Xiufang;  Jiang, Maowei;  Wang, Changgang;  Li, Rui;  Huang, Jie;  Dong, Junhua
收藏  |  浏览/下载：3/0  |  提交时间：2025/04/27
Electrochemical impedance spectroscopy  Random forest  Corrosion  Equivalent circuit model  
An intelligent matching method for the equivalent circuit of electrochemical impedance spectroscopy based on Random Forest 期刊论文
JOURNAL OF MATERIALS SCIENCE & TECHNOLOGY, 2025, 卷号: 209, 页码: 300-310
作者:  Chen, Wenbo;  Yan, Bingjun;  Xu, Aidong;  Mu, Xin;  Zhou, Xiufang;  Jiang, Maowei;  Wang, Changgang;  Li, Rui;  Huang, Jie;  Dong, Junhua
收藏  |  浏览/下载：11/0  |  提交时间：2025/04/27
Electrochemical impedance spectroscopy  Random forest  Corrosion  Equivalent circuit model  
Developing novel low-density high-entropy superalloys with high strength and superior creep resistance guided by automated machine learning 期刊论文
ACTA MATERIALIA, 2025, 卷号: 285, 页码: 17
作者:  Li, Yancheng;  Pang, Jingyu;  Li, Zhen;  Wang, Qing;  Wang, Zhenhua;  Li, Jinlin;  Zhang, Hongwei;  Jiao, Zengbao;  Dong, Chuang;  Liaw, Peter K.
收藏  |  浏览/下载：5/0  |  提交时间：2025/04/27
High-entropy superalloys  gamma/gamma' microstructural stability  Mechanical mechanisms  Deformation mechanisms  Machine learning  
Toward super-clean bearing steel by a novel physical-data integrated design strategy 期刊论文
MATERIALS & DESIGN, 2025, 卷号: 250, 页码: 15
作者:  Guan, Jian;  Liu, Guolei;  Hu, Wenguang;  Liu, Hongwei;  Fu, Paixian;  Cao, Yanfei;  Liu, Dong-Rong;  Li, Dianzhong
收藏  |  浏览/下载：4/0  |  提交时间：2025/04/27
Vacuum arc remelting (VAR)  Inclusions  Multi-phase model  Genetic algorithm (GA)  Physical-data integrated design strategy  
Study on the surface quality of 10% vol Mg2Si/Al composites after solution treatment 期刊论文
INDUSTRIAL LUBRICATION AND TRIBOLOGY, 2025, 页码: 14
作者:  Lv, Guangchao;  Gao, Qi;  Wang, Quanzhao
收藏  |  浏览/下载：4/0  |  提交时间：2025/04/27
Mg2Si/Al composites  Milling mechanism  Surface quality  NSGA-II multi-objective optimization algorithm  Genetic algorithm  Characterization  
The design of oxidation resistant Ni superalloys for additive manufacturing 期刊论文
ADDITIVE MANUFACTURING, 2025, 卷号: 97, 页码: 12
作者:  Yu, Hao;  Zhao, Quan;  Fu, Jiabo;  Hu, Yanzhen;  Liang, Jingjing;  Li, Jinguo;  Xu, Wei
收藏  |  浏览/下载：8/0  |  提交时间：2025/04/27
Alloy design  Additive manufacturing  Oxidation resistance  Ni superalloys  
Research on the Optimization of TP2 Copper Tube Drawing Process Parameters Based on Particle Swarm Algorithm and Radial Basis Neural Network 期刊论文
APPLIED SCIENCES-BASEL, 2024, 卷号: 14, 期号: 23, 页码: 23
作者:  Yue, Fengli;  Sha, Zhuo;  Sun, Hongyun;  Chen, Dayong;  Liu, Jinsong
收藏  |  浏览/下载：8/0  |  提交时间：2025/04/27
copper tube drawing  ultrasonic detection  wall thickness unevenness  particle swarm optimization  neural network  
Machine Learning Model for Predicting the Critical Transition Temperature of Hydride Superconductors 期刊论文
ACTA METALLURGICA SINICA, 2024, 卷号: 60, 期号: 10, 页码: 1418-1428
作者:  Zhao, Jinbin;  Wang, Jiantao;  He, Dongchang;  Li, Junlin;  Sun, Yan;  Chen, Xing-Qiu;  Liu, Peitao
收藏  |  浏览/下载：7/0  |  提交时间：2025/04/27
hydride superconductor  superconducting transition temperature  machine learning  random forest  first-principles calculation