Study of Deep Generative Models for Inorganic Chemical Compositions

1 code implementation • 25 Oct 2019 • Yoshihide Sawada, Koji Morikawa, Mikiya Fujii

Generative models based on generative adversarial networks (GANs) and variational autoencoders (VAEs) have been widely studied in the fields of image generation, speech generation, and drug discovery, but, only a few studies have focused on the generation of inorganic materials.

Drug Discovery Image Generation