Presentation Information

[10a-N302-9]Gradient-Based Inverse Composition Design for Dielectric Material Discovery

〇Daisuke Hirai1, Keitaro Fujii1, Akihiro Fujii2, Anh Khoa Augustin Lu3,2, Satoshi Watanabe2 (1.Murata Manufacturing, 2.Univ. of Tokyo, 3.NIMS)

Keywords:

inverse problem,dielectrics

To enable efficient discovery of high-dielectric-constant materials, we developed a materials design approach that combines a neural-network-gradient-based inverse composition design method with a crystal structure generation model. As a result, candidate materials with previously unreported compositions and crystal structures were identified. Furthermore, density functional theory calculations confirmed their high dielectric constants, demonstrating the effectiveness of the proposed inverse design method.

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