Generative adversarial networks (GAN) based efficient sampling of chemical space for inverse design of inorganic materials

12 Nov 2019Yabo DanYong ZhaoXiang LiShaobo LiMing HuJianjun Hu

A major challenge in materials design is how to efficiently search the vast chemical design space to find the materials with desired properties. One effective strategy is to develop sampling algorithms that can exploit both explicit chemical knowledge and implicit composition rules embodied in the large materials database... (read more)

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