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

2020npj Computational Materials引用 240顶会
Machine Learning in Materials ScienceX-ray Diffraction in CrystallographyComputational Drug Discovery Methods

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