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title: README |
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emoji: ๐ |
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colorTo: green |
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sdk: static |
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pinned: false |
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--- |
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# Open Materials Generation (OMatG) |
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## About |
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OMatG is a generative model for crystal structure prediction and _de novo_ generation of inorganic crystals. |
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This repository hosts our model checkpoints and benchmark datasets. |
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## Models |
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Each of our models have been trained with a variety of hyperparameters as, e.g., various positional stochastic interpolants for the fractional coordinates in the unit-cell representation. |
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Checkpoints for different positional stochastic interpolants are included in subdirectories within each model repository. |
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The tables below indicate the recommended checkpoints for each model, as well as the suggested use case. |
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[**Try our models live at OMatGenerate.**](https://omatgenerate.users.hsrn.nyu.edu/) |
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### Crystal Structure Prediction (CSP) |
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|model |best checkpoints | match rate (%)| RMSE | notes | |
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|:------------:|:---------------:|:--------------------------:|:-----------------:|:------| |
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|[**Alex-MP-20-CSP**](https://huggingface.co/OMatG/Alex-MP-20-CSP)|Trig SDE Gamma |72.50 |0.1261 |Predict inorganic crystal structures of compositions with **up to 20 atoms** per unit cell. **Largest training set; recommended over MP-20-CSP**. |
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|[**MP-20-CSP**](https://huggingface.co/OMatG/MP-20-CSP) |Linear ODE |69.83 |0.0741 |Predict inorganic crystal structures of compositions with **up to 20 atoms** per unit cell.|20-CSP. |
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|[**MPTS-52-CSP**](https://huggingface.co/OMatG/MPTS-52-CSP) |Linear ODE |27.38 |0.1970 |Predict inorganic crystal structures of compositions with **up to 52 atoms** per unit cell. Should only be used if strictly necessary; use Alex-MP-20-CSP models if possible.| |
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|[**perov-5-CSP**](https://huggingface.co/OMatG/perov-5-CSP) |VPSBD ODE |83.06 |0.3753 |Predict perovskite structures with **exactly 5 atoms** per unit cell. Should only be used if strictly necessary.| |
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### _De Novo_ Generation (DNG) |
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|model |best checkpoints | S.U.N rate (%)| RMSD | notes | |
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|:---------:|:---------------:|:-------------:|:-----:|:----------------------------------------------------------------------:| |
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|[**MP-20-DNG**](https://huggingface.co/OMatG/MP-20-DNG) |Linear SDE Gamma |22.48 |0.6357|Generate _de novo_ crystal structures with up to 20 atoms per unit cell. | |
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## Citation |
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Please cite [our paper on OpenReview](https://openreview.net/forum?id=gHGrzxFujU) if using our models or datasets. |
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## Links |
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[OMatG on GitHub](https://github.com/FERMat-ML/OMatG): See this repository for installation, training and usage instructions. |
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[KIM Initiative](https://kim-initiative.org/): Knowledgebase of Interatomic Models. Tools and resources for researchers in materials science and chemistry. |
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[Fermat-ML on GitHub](https://github.com/FERMat-ML): Foundational Representation of Materials. Machine learning foundation model for materials and chemistry discovery. |
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[OMatGenerate](omatgenerate.users.hsrn.nyu.edu): Try our models **live** at OMatGenerate, hosted on New York University's High Speed Research Network. |
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