GENERATIVE STRUCTURE-PROPERTY INVERSE COMPUTATIONAL CO-DESIGN OF MATERIALS

    公开(公告)号:EP3800586A1

    公开(公告)日:2021-04-07

    申请号:EP20179214.0

    申请日:2020-06-10

    IPC分类号: G06N3/04 G06N3/08 G16C20/50

    摘要: A method and a system for material design utilizing machine learning are provided, where the underlying joint distribution p(S,P) of structure (S) - property (P) relationships is explicitly learned simultaneously and is utilized to directly generate samples (S,P) in a single step utilizing generative techniques, without any additional processing steps. The subspace of structures that meet or exceed the target for property P is then identified utilizing conditional generation of the distribution (e.g., p(P)), or through randomly generating a large number of samples (S,P) and filtering (e.g., selecting) those that meet target property criteria.