English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools annual

Global: Zendy Free Plan

Global: Zendy Tools monthly

Global: Zendy Plus monthly

We present MAESTROeX, a massively parallel solver for low Mach numberastrophysical flows. The underlying low Mach number equation set allows forefficient, long-time integration for highly subsonic flows compared tocompressible approaches. MAESTROeX is suitable for modeling full sphericalstars as well as well as planar simulations of dynamics within localizedregions of a star, and can robustly handle several orders of magnitude ofdensity and pressure stratification. Previously, we have described thedevelopment of the predecessor of MAESTROeX, called MAESTRO, in a series ofpapers. Here, we present a new, greatly simplified temporal integration schemethat retains the same order of accuracy as our previous approaches. We alsoexplore the use of alternative spatial mapping of the one-dimensional basestate onto the full Cartesian grid. The code leverages the new AMReX softwareframework for block-structured adaptive mesh refinement (AMR) applications,allowing for scalability to large fractions of leadership-class machines. Usingour previous studies on the convective phase of single-degenerate progenitormodels of Type Ia supernovae as a guide, we characterize the performance of thecode and validate the new algorithmic features. Like MAESTRO, MAESTROeX isfully open source.

MAESTROeX: A Massively Parallel Low Mach Number Astrophysical Solver