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README.md

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[![License: MIT](https://img.shields.io/badge/License-MIT-success.svg)](https://opensource.org/licenses/MIT)
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[![DOI](https://zenodo.org/badge/DOI/10.5281/zenodo.15730554.svg)](https://doi.org/10.5281/zenodo.15730554)
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[![doi:10.1016/j.cpc.2025.109898](https://img.shields.io/badge/Paper_DOI-10.1016/j.cpc.2025.109898-blue)](https://doi.org/10.1016/j.cpc.2025.109898)
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[![arXiv:2506.21206](https://img.shields.io/badge/arXiv-2506.21206-yellow)](https://arxiv.org/abs/2506.21206)
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This repository contains information and code to reproduce the results presented in the
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article
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```bibtex
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@misc{neher2025robustefficientpreprocessingtechniques,
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title={Robust and efficient pre-processing techniques for particle-based methods including dynamic boundary generation},
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author={Niklas S. Neher and Erik Faulhaber and Sven Berger and Christian Weißenfels and Gregor J. Gassner and Michael Schlottke-Lakemper},
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year={2025},
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eprint={2506.21206},
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archivePrefix={arXiv},
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primaryClass={math.NA},
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url={https://arxiv.org/abs/2506.21206},
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@Article{neher2026robust,
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author = {Neher, Niklas S. and Faulhaber, Erik and Berger, Sven and Weißenfels,
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Christian and Gassner, Gregor J. and Schlottke-Lakemper, Michael},
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journal = {Computer Physics Communications},
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title = {Robust and efficient pre-processing techniques for particle-based
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methods including dynamic boundary generation},
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year = {2026},
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pages = {109898},
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volume = {318},
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doi = {10.1016/j.cpc.2025.109898}
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}
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```
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```bibtex
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@misc{Neher2025reproducibility,
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title={Reproducibility repository for
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"{R}obust and efficient pre-processing techniques for particle-based methods including dynamic boundary generation"},
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author={Neher, Niklas S. and Faulhaber, Erik and Berger, Sven and Weißenfels Christian and Gassner, Gregor J. and Schlottke-Lakemper, Michael},
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"{R}obust and efficient pre-processing techniques for particle-based
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methods including dynamic boundary generation"},
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author={Neher, Niklas S. and Faulhaber, Erik and Berger, Sven
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and Weißenfels Christian and Gassner, Gregor J. and Schlottke-Lakemper, Michael},
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year= {2025},
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howpublished={\url{https://github.com/trixi-framework/paper-2025-particle-based_preprocessing}},
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doi={10.5281/zenodo.15730554}

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