This repository contains data and codes for Cage-VAE in our paper Deep generative design of porous organic cages via a variational autoencoder. In this work, we present a VAE model, Cage-VAE, for the ...

The research provides a comprehensive review of generative architectures built upon the Variational Autoencoder (VAE) paradigm, emphasizing their capacity to delineate latent structures inherent to ...

A deep generative model based on a variational autoencoder (VAE), conditioned simultaneously by two target properties, is developed to inverse design stable magnetic materials. The structure of the ...