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8 基于材料因子和Bayesian优化的沉淀硬化铜合金多目标设计策略[123]

Fig.8 Design strategy of precipitation strengthened copper alloys based on alloy factor screening and Bayesian optimization (MOEI represents the simultaneous improvement of mechanical and electrical properties based on the benchmark property μ*, since EIHV and EIEC, respectively represent the property improvement (hardness, electrical conductivity) based on the benchmark properties μHV* and μEC*)[123]