Applications of generative adversarial networks in materials science
Yuan Jiang,
Jinshan Li,
Xiang Yang
et al.
Abstract:Generative adversarial networks (GANs), as a powerful tool for inverse materials discovery, are being increasingly applied in various fields of materials science. This review provides systematic investigations on the applications of GANs from a group of different aspects. The basic principles of GANs are first introduced; then a detailed review of GANs‐based studies regarding distinct scenarios across composition design, processing optimization, crystal structure search, microstructure characterization and def… Show more
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