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

Title
Generative adversarial networks (GAN) based efficient sampling of chemical composition space for inverse design of inorganic materials
Authors
Keywords
-
Journal
npj Computational Materials
Volume 6, Issue 1, Pages -
Publisher
Springer Science and Business Media LLC
Online
2020-06-26
DOI
10.1038/s41524-020-00352-0

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