Molecular design
by Various
List of Molecular and Material design using Generative AI and Deep Learning
Apps
Molecular design
Added 1 June 2026
Overview
A curated GitHub repository indexing papers on molecular and material design using generative models and deep learning. It serves as a reference list for researchers tracking methods in this domain.
Best for
Best for
Researchers and developers exploring generative AI for molecular and materials discovery
Use cases
- Finding relevant research papers for generative AI in molecular design
- Keeping up with deep learning advances for materials discovery
- Identifying candidate generative models for novel molecule generation
Notes
940 stars on GitHub. Last updated 2026-05-25. Licensed GPL-3.0.
Pros
- High-quality curated list with 940 GitHub stars, indicating community trust
- Organizes a rapidly evolving field into a single, searchable reference
- Covers both molecular and broader material design applications
Cons
- Not a functional tool; requires reading and implementing methods from papers
- List may become outdated as new research emerges
- No built-in integration with development or deployment workflows
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