AMReX Copyright (c) 2017, The Regents of the University of California, through Lawrence Berkeley National Laboratory and the Alliance for Sustainable Energy, LLC., through National Renewable Energy Laboratory (subject to receipt of any required approvals from the U.S. Dept. of Energy). All rights reserved.
If you have questions about your rights to use or distribute this software, please contact Berkeley Lab's Innovation & Partnerships Office at [email protected].
NOTICE. This Software was developed under funding from the U.S. Department of Energy and the U.S. Government consequently retains certain rights. As such, the U.S. Government has been granted for itself and others acting on its behalf a paid-up, nonexclusive, irrevocable, worldwide license in the Software to reproduce, distribute copies to the public, prepare derivative works, and perform publicly and display publicly, and to permit other to do so.
License for AMReX can be found at LICENSE.
Please see CONTRIBUTING.md for details on how to contribute to AMReX.
To cite AMReX, please use
@article{AMReX_JOSS,
doi = {10.21105/joss.01370},
url = {https://doi.org/10.21105/joss.01370},
year = {2019},
month = may,
publisher = {The Open Journal},
volume = {4},
number = {37},
pages = {1370},
author = {Weiqun Zhang and Ann Almgren and Vince Beckner and John Bell and Johannes Blaschke and Cy Chan and Marcus Day and Brian Friesen and Kevin Gott and Daniel Graves and Max Katz and Andrew Myers and Tan Nguyen and Andrew Nonaka and Michele Rosso and Samuel Williams and Michael Zingale},
title = {{AMReX}: a framework for block-structured adaptive mesh refinement},
journal = {Journal of Open Source Software}
}
If you use the Gaussian Process Based AMR prolongation algorithm within AMReX, please cite the corresponding paper by Reeves, et al.
@ARTICLE{reeves2020application,
title={An Application of Gaussian Process Modeling for High-order Accurate Adaptive Mesh Refinement Prolongation},
author={Steven I. Reeves and Dongwook Lee and Adam Reyes and Carlo Graziani and Petros Tzeferacos},
year={2020},
eprint={2003.08508},
archivePrefix={arXiv},
primaryClass={math.NA}
}