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Update README for documentation links and clarity
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README.md

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SevenNet (Scalable EquiVariance-Enabled Neural Network) is a graph neural network (GNN)-based interatomic potential package that supports parallel molecular dynamics simulations using [`LAMMPS`](https://lammps.org). Its core model is based on [`NequIP`](https://github.com/mir-group/nequip).
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Full documentation, including **installation**, **usage**, and **pretrained models**, is available at https://sevennet.readthedocs.io/en/latest/.
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Full documentation, including **installation**, **usage**, and **pretrained models**, is available at [documentation](https://sevennet.readthedocs.io/en/latest/).
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## Features
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- Pretrained GNN interatomic potential and fine-tuning interface
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## Installation and user guides
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nstallation and user guides can be found in our [documentation](https://sevennet.readthedocs.io/en/latest/).
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Installation (including LAMMPS and D3) and user guides can be found in our [documentation](https://sevennet.readthedocs.io/en/latest/).
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The old README (prior to v0.12.0) can be found [here](./docs/old_readme/)
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The old README (prior to v0.12.0) can be found [here](./docs/old_readme/).
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## Citation
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