Data Driven Interdisciplinary Science

Research Frontiers in Generative Models for Molecular Design

Uses variational autoencoders, diffusion models, and generative adversarial networks to design novel drug compounds and materials with desired properties.

All Data-Driven Interdisciplinary Science PhD categories