MAESTROeX

Spec sheet

Purpose

MAESTROeX is an astrophysical hydrodynamics code for modeling low Mach number stratified flows, including convection in stars and atmospheres.Read 9 Oct 2026 · amrex-astro.github.io

Support

Users can seek help through the MAESTROeX mailing list and User's Guide.Read 9 Oct 2026 · amrex-astro.github.io

License

MAESTROeX is BSD-licensed and hosted on GitHub.Read 8 Oct 2026 · amrex-astro.github.io

3D visuals

YesRead 23 Sep 2026 · amrex-astro.github.io

Adaptive grids

It solves low Mach number hydrodynamics on an adaptive mesh refinement grid.Read 8 Oct 2026 · amrex-astro.github.io

Adaptive mesh

It supports adaptive mesh refinement.Read 9 Oct 2026 · amrex-astro.github.io

Assessment tools

NoRead 23 Sep 2026 · amrex-astro.github.io

Authoring tools

NoRead 23 Sep 2026 · amrex-astro.github.io

Data export

YesRead 23 Sep 2026 · amrex-astro.github.io

Delivery mode

desktopRead 23 Sep 2026 · amrex-astro.github.io

Dependencies

The getting-started instructions clone MAESTROeX, AMReX, and Microphysics repositories and build a problem executable with make.Read 8 Oct 2026 · amrex-astro.github.io

Development

Development takes place in a public GitHub repository, and contributions are welcomed through pull requests.Read 8 Oct 2026 · amrex-astro.github.io

Hydrodynamics

It supports second-order hydrodynamics in 2D plane-parallel and 3D spherical and plane-parallel geometries.Read 9 Oct 2026 · amrex-astro.github.io

Lesson library

NoRead 23 Sep 2026 · amrex-astro.github.io

License and development

MAESTROeX is BSD-licensed, hosted on GitHub, and accepts contributions through pull requests.Read 9 Oct 2026 · amrex-astro.github.io

Low Mach method

It filters out sound waves while retaining relevant compressibility effects, allowing larger timesteps for low Mach number flows.Read 9 Oct 2026 · amrex-astro.github.io

Microphysics

The main repository includes a gamma-law equation of state and a general-composition non-reacting network, while additional equations of state and reaction networks are in the Microphysics repository.Read 9 Oct 2026 · amrex-astro.github.io

Notable limit

The site says the low Mach number stellar-flow method requires total pressure to remain close to the background pressure.Read 8 Oct 2026 · amrex-astro.github.io

Notable limitation

The project states that its low Mach number stellar-flow method requires pressure to remain close to the background pressure.Read 9 Oct 2026 · amrex-astro.github.io

Offline access

YesRead 23 Sep 2026 · amrex-astro.github.io

Parallel computing

It uses MPI and OpenMP parallelization and is built on the AMReX adaptive mesh refinement library.Read 9 Oct 2026 · amrex-astro.github.io

Performance

The code uses MPI and tiled OpenMP parallelism and is described as scaling from 1 to 10,000s of cores.Read 8 Oct 2026 · amrex-astro.github.io

Physics

It supports arbitrary equations of state, general nuclear reaction networks, and implicit thermal diffusion.Read 9 Oct 2026 · amrex-astro.github.io

Regression checks

A nightly regression test suite checks outputs bit-for-bit against stored benchmarks for many problem setups, including science runs.Read 9 Oct 2026 · amrex-astro.github.io

Reproducibility

Plotfiles record build and run environment details and source code versions to help recover the code base used for previous results.Read 9 Oct 2026 · amrex-astro.github.io

Research applications

The code has been used to study Type Ia supernovae, X-ray bursts, and convection in stellar evolution.Read 9 Oct 2026 · amrex-astro.github.io

Scale

The project says MAESTROeX scales from 1 to 10,000s of cores and runs at most national supercomputing facilities.Read 9 Oct 2026 · amrex-astro.github.io

Use cases

The project describes scientific applications including Type Ia supernovae, X-ray bursts, and convection in stellar evolution.Read 8 Oct 2026 · amrex-astro.github.io

Visualization

MAESTROeX output in BoxLib/AMReX format is natively supported by yt, VisIt, and amrvis.Read 9 Oct 2026 · amrex-astro.github.io

Where Specifiction places it

• Physics Simulation Software#49 of 897.6