PaddlePaddle/PaddleMaterials
PaddleMaterials is a data-mechanism dual-driven, foundation model development and deployment, end to end toolkit based on PaddlePaddle deep learning framework for materials science.
This toolkit helps materials scientists and engineers quickly develop and deploy AI models to explore, discover, and design new materials. It takes material structure data (like CIF files for inorganic materials or molecular structures for organic materials) and uses AI to predict properties or generate new material structures. Researchers in materials science and engineering would use this to accelerate their work on inorganic materials, organic molecules, and future polymer and catalyst development.
Use this if you are a materials researcher looking to leverage AI to speed up the discovery, design, and property prediction of inorganic or organic materials.
Not ideal if you are not working with materials science data or need a general-purpose deep learning framework for non-materials applications.
Stars
87
Forks
29
Language
Python
License
Apache-2.0
Category
Last pushed
Mar 13, 2026
Commits (30d)
0
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