PREDICTION APPARATUS, TRAINING APPARATUS, PREDICTION METHOD, TRAINING METHOD, PREDICTION PROGRAM, AND TRAINING PROGRAM

    公开(公告)号:US20250014685A1

    公开(公告)日:2025-01-09

    申请号:US18710425

    申请日:2022-11-15

    Abstract: A prediction apparatus includes a trained model trained by using training data in which a material composition of a material to be learned is associated with a phase fraction of the material to be learned at each temperature within a predetermined temperature range, the trained model being configured to predict a phase fraction at an i+1-th temperature by using a phase fraction predicted by the trained model for one or more temperatures up to an i-th temperature within the predetermined temperature range (where i is an integer of 1 or more). The prediction apparatus is configured to input a material composition of a material to be predicted into the trained model, thereby predicting a phase fraction of the material to be predicted at each temperature within the predetermined temperature range.

    MATERIAL DESIGN SUPPORT APPARATUS, MATERIAL DESIGN SUPPORT METHOD, AND PROGRAM

    公开(公告)号:US20240319706A1

    公开(公告)日:2024-09-26

    申请号:US18578973

    申请日:2022-07-15

    CPC classification number: G05B19/4097 G05B2219/45234

    Abstract: A material design support apparatus for supporting optimization of a design condition for a material, the material design support apparatus including: a design condition setting unit configured to set a range of a design condition for a material; a required characteristic setting unit configured to set a range of a required characteristic of the material; an exhaustive prediction point generation unit configured to generate a plurality of exhaustive prediction points within the range of the design condition; a prediction unit configured to input the exhaustive prediction points into a trained model in which a correspondence between a design condition for the material and a characteristic value of the material is learned, thereby to predict a characteristic value of the material; and a design condition adjustment unit configured to adjust a range of the design condition for the material in which a plurality of exhaustive prediction points are subsequently generated.

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