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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
发明人: HEGDE, Ganesh , SIMKA, Harsono S.
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.