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# Contributions
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<img src="path-to-your-logo.png" alt="pymatnest Logo" class="card-logo">
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<h3>pymatnest</h3>
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<p class="justified">The pymatnest package is a software library for carrying out nested sampling calculations. It can be used to explore the energy landscape of different materials (both clusters and bulk materials), calculate thermodynamic variables at arbitrary temperatures, locate phase transitions, and calculate the phase diagram. It can be used with LAMMPS, and the supplied Fortran models, and both with MC and MD.</p>
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<p class="justified">The pymatnest package is a software library for carrying out nested sampling calculations. It can be used to explore the energy landscape of different materials (both clusters and bulk materials), calculate thermodynamic variables at arbitrary temperatures, locate phase transitions, and calculate the phase diagram. It can be used with LAMMPS and the supplied Fortran models, and both with MC and MD.</p>
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<div class="card-links">
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<a href="https://libatoms.github.io/pymatnest/">Documentation</a>
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<a href="https://github.com/libAtoms/pymatnest">GitHub Repository</a>
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<img src="path-to-your-logo.png" alt="quacc Logo" class="card-logo">
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<img src="../assets/quacc/quacc_favicon.png" alt="quacc Logo" class="card-logo">
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<h3>quacc</h3>
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<p class="justified">quacc (pronounced "quack" 🦆) is a flexible platform for high-throughput computational materials science and quantum chemistry built for the exascale era, maintained by the Rosen Research Group at Princeton University.</p>
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