物理学报2023，Vol.72Issue(18)：60-70,11.DOI:10.7498/aps.72.20230646
机器学习结合固溶强化模型预测高熵合金硬度
Machine learning combined with solid solution strengthening model for predicting hardness of high entropy alloys
摘要
关键词
高熵合金/机器学习/遗传算法/固溶强化Key words
high entropy alloys/machine learning/genetic algorithms/solid solution strengthening引用本文复制引用
张逸凡,任卫,王伟丽,丁书剑,李楠,常亮,周倩..机器学习结合固溶强化模型预测高熵合金硬度[J].物理学报,2023,72(18):60-70,11.基金项目
国家自然科学基金(批准号:51931005,52171048,51571163)和陕西省创新产业链项目(批准号:2020ZDLGY12-02)资助的课题.Project supported by the National Natural Science Foundation of China(Grant Nos.51931005,52171048,51571163)and the Key Industry Innovation Chain Project of Shaanxi Province,China(Grant No.2020ZDLGY12-02). （批准号:51931005,52171048,51571163）
