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

Machine Learning for Materials Research and Development
XIE Jianxin, SU Yanjing, XUE Dezhen, JIANG Xue, FU Huadong, HUANG Haiyou
图3 相变诱导塑性(TRIP)钛合金力学性能的机器学习流程[60]
Fig.3 Property optimization workflow of TRIP Ti alloys based on artificial neural network (UTS—ultimate tensile strength, El—elongation, HT—heat treatment) (a, b)[60]