izumitkhr/matagent
MatAgent: A generative framework for interpretable and targeted inorganic materials design using diffusion-based generation, property prediction, and LLM-driven reasoning.
This tool helps materials scientists, chemists, and engineers design new inorganic materials with specific properties. You input desired characteristics, like a target formation energy, and the system generates novel material compositions and structures predicted to meet those specifications. It's for researchers and practitioners in materials discovery who need to efficiently explore vast chemical spaces.
Use this if you need to rapidly explore and generate new inorganic material candidates with targeted properties, without exhaustive experimental trial-and-error.
Not ideal if you primarily need to analyze existing material data or require detailed quantum-mechanical simulations for atomic-level accuracy.
Stars
12
Forks
3
Language
Python
License
GPL-3.0
Category
Last pushed
Dec 11, 2025
Commits (30d)
0
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