机器学习在材料研发中的应用
Machine Learning for Materials Research and Development
(a) the new model (b) S-model (c) T-model (d) V-model
(e) comparison of predicted and experimental solid solution strength (
机器学习在材料研发中的应用 |
| 谢建新, 宿彦京, 薛德祯, 姜雪, 付华栋, 黄海友 |
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Machine Learning for Materials Research and Development |
| XIE Jianxin, SU Yanjing, XUE Dezhen, JIANG Xue, FU Huadong, HUANG Haiyou |
| 图5 高熵合金固溶强化模型精度(MRE)的对比[ (a) the new model (b) S-model (c) T-model (d) V-model (e) comparison of predicted and experimental solid solution strength ( |
| Fig.5 The Solid solution strengthening prediction via different physical models (MRE—the mean relative error, R—correlation coefficient, DFT—density functional theory)[ |
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