ExactPack: A python library of exact analytic solutions

Journal Article · 18 October 2023 · SoftwareX

DOI: https://doi.org/10.1016/j.softx.2023.101560 · OSTI ID:2204208

Thrussell, Jasper  ^[1]; Ferguson, Jim Michael  ^[1]

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1. Los Alamos National Laboratory (LANL), Los Alamos, NM (United States)

Verification of multi-physics simulation software against problems with known analytic or semi-analytic solutions is an important aspect of research into a wide variety of fields involving the motion of fluids, shock physics and other dynamic material properties. Previous work comparing simulation results against analytic solutions has been ad-hoc, with developers frequently writing their own analytic solvers. This has resulted in a large amount of duplicated effort. The python library ExactPack has been developed as a collection of analytic and semi-analytic solvers to a variety of multi-physics problems, providing a consistent API to a set of well-tested solver implementations.

• Research Organization: Los Alamos National Laboratory (LANL), Los Alamos, NM (United States)
• Sponsoring Organization: USDOE National Nuclear Security Administration (NNSA)
• Grant/Contract Number: 89233218CNA000001
• OSTI ID: 2204208
• Report Number(s): LA-UR--23-25048
• Journal Information: SoftwareX, Journal Name: SoftwareX Vol. 24; ISSN 2352-7110
• Publisher: ElsevierCopyright Statement
• Country of Publication: United States
• Language: English