Journal of Open Source Software: MAESTROeX: A Massively Parallel Low Mach Number Astrophysical Solver

MAESTROeX: A Massively Parallel Low Mach Number Astrophysical Solver

C++ Python Fortran Jupyter Notebook Submitted 03 September 2019Published 19 December 2019
Review

Editor: @arfon (all papers)
Reviewers: @tukss (all reviews), @pgrete (all reviews)

Authors

Duoming Fan (0000-0002-3246-4315), Andrew Nonaka (0000-0003-1791-0265), Ann Almgren (0000-0003-2103-312X), Donald Willcox (0000-0003-2300-5165), Alice Harpole (0000-0002-1530-781X), Michael Zingale (0000-0001-8401-030X)

Citation

Fan et al., (2019). MAESTROeX: A Massively Parallel Low Mach Number Astrophysical Solver. Journal of Open Source Software, 4(43), 1757, https://doi.org/10.21105/joss.01757

@article{Fan2019, doi = {10.21105/joss.01757}, url = {https://doi.org/10.21105/joss.01757}, year = {2019}, publisher = {The Open Journal}, volume = {4}, number = {43}, pages = {1757}, author = {Duoming Fan and Andrew Nonaka and Ann Almgren and Donald Willcox and Alice Harpole and Michael Zingale}, title = {MAESTROeX: A Massively Parallel Low Mach Number Astrophysical Solver}, journal = {Journal of Open Source Software} }
Copy citation string · Copy BibTeX  
Tags

Fortran90 convection hydrodynamics nuclear reactions nucleosynthesis abundances supernovae

Altmetrics
Markdown badge

 

License

Authors of JOSS papers retain copyright.

This work is licensed under a Creative Commons Attribution 4.0 International License.

Creative Commons License

Table of Contents
Public user content licensed CC BY 4.0 unless otherwise specified.
ISSN 2475-9066