Seixas Research is a dedicated hub for scientific software development and academic project repositories. This space focuses on the implementation of computational methods, simulation frameworks, and data-driven tools designed to support rigorous scientific inquiry and reproducible research.
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Showing 10 of 13 repositories
- quasigraph Public
Graph-like chemical and geometric descriptor toolkit for studying materials with machine learning models.
- MLIP_utils Public
- blendpy Public
Computational toolkit for investigating thermodynamic models of alloys using first-principles calculations
- QM9_to_ASE_parser Public
- pseudos Public
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