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2 融合显微组织深度学习的钢铁材料组织和性能设计流程[45]

Fig.2 Flow map for the design of microstructure and mechanical property of steels with artificial neural network (ANN) (PF—polygonal ferrite; AF—acicular ferrite; GB—granular bainite; BF—bainitic ferrite; M—martensite; BH, DP, CP, and TRIP represent bake-hardening steel, dual phase steel, complex phase steel, and transformation induced plasticity steel; HSLA—high strength low alloys; L.R.Y.S represents linear regression of yield strength)[45]