公开(公告)号：US20240136026A1

公开(公告)日：2024-04-25

申请号：US18548405

申请日：2022-03-14

Applicant: SHOWA DENKO K.K.

Inventor： Shimpei TAKEMOTO ,  Yoshishige OKUNO ,  Takeshi KANESHITA

IPC: G16C20/30 ,  G16C20/70

CPC classification number: G16C20/30 ,  G16C20/70

Abstract: Model setting step sets a trained model acquired by machine learning of a correspondence relationship between an explanatory variable including information related to a material composition or a manufacturing condition of a target material, and an objective variable including information related to the material characteristics of the target material, and prediction step inputs an explanatory variable related to a target material whose material characteristics is to be predicted to the trained model set in the model setting step, and outputs an objective variable related to information of the explanatory variable, so as to predict the material characteristics of the target material to be predicted based on the objective variable. The explanatory variable includes a material characteristics evaluation temperature that is a temperature at a time of measurement of the material characteristics included in the objective variable, and an evaluation temperature holding time that is a time during which the material characteristics evaluation temperature is held until the measurement of the material characteristics.