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| title: README |
| emoji: 🏢 |
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| # MatCraft - AI-Powered Materials Discovery |
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| Accelerating materials science research with surrogate models, active learning, and multi-objective optimization. |
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| ## 🎯 What we publish here |
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| - **Datasets**: 205k+ unified materials database (Materials Project + AFLOW + JARVIS) |
| - **Models**: Pre-trained surrogate models for 16 material domains |
| - **Demos**: Interactive Gradio spaces for materials discovery |
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| ## 🔗 Links |
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| - Website: https://matcraft.ai |
| - Documentation: https://matcraft.ai/docs |
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| ## 📊 Use Cases |
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| - ML researchers: Clean datasets with 30+ normalized properties |
| - Materials scientists: Fast property predictions without DFT |
| - Students & educators: Free access to real materials data |
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| ## 📝 Citation |
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| If you use MatCraft data or models in your research, please cite: |
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| @misc{matcraft2026, |
| title={MatCraft: AI-Powered Materials Discovery Platform}, |
| author={MatCraft Team}, |
| year={2026}, |
| url={https://matcraft.ai} |
| } |
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| ## 📧 Contact |
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| Questions? → contact@matcraft.ai |
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