Molecular design

A curated list of research on molecular and materials design using generative AI and deep learning.

github.com/AspirinCode/papers-for-molecular-de…
Molecular design homepage screenshot

About Molecular design

This repository is a list of research on molecular and material design using generative AI and deep learning. Associated topics include drug design, material design, and methods such as diffusion, GANs, VAEs, transformers, GNNs, and reinforcement learning. It contains a README, a Molecular_Optimization.md file, and figures, and is shared under a GPL-3.0 license.

Key features

  • List of papers on generative AI for molecular design
  • Includes material design and drug design research topics
  • Tags methods including diffusion, GAN, VAE, and transformer
  • References reinforcement learning and energy-based models
  • Provides separate Molecular_Optimization.md file
  • Shared as open source under GPL-3.0 license
Best for: Researchers and students tracking literature on generative AI for molecular and materials design.
Good for
  • Open source under GPL-3.0 license
  • Covers both molecular and material design literature
  • Includes multiple generative methods in one list

Molecular design at a glance

Type
Open-source project
Pricing
Not confirmed. Check the site
Open source
Yes · Source code
Language
English
Last checked
Oct 5, 2026 · Online when checked
Listed
Oct 5, 2026

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