MatterGen
Diffusion-based generative model for inorganic materials design, steering generation by chemistry, symmetry, bulk modulus, band gap, or magnetic properties, 2× more likely to produce stable novel structures than prior methods, experimentally validated with synthesized TaCr₂O₆ (Microsoft, Nature 2025)
- Repository
- github.com/microsoft/mattergen
Source attribution
- Awesome AI for Science — github.com/microsoft/mattergen
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