# Installer damask-grid avec Homebrew

Consultez les chemins d'installation, exécutables, métadonnées et notes de sécurité de damask-grid pour les workflows d'agents IA.

## installation

```sh
sudo av install brew:damask-grid
```

Commandes d'installation supplémentaires:

### macOS

- Homebrew (100%):

```sh
brew install damask-grid
```

  Preuve: local Homebrew formula metadata

## Faits du paquet

- **Clé du paquet:** brew:damask-grid
- **Gestionnaire de paquets:** Homebrew
- **Version:** 3.1.0
- **Résumé source:** Grid solver of DAMASK - Multi-physics crystal plasticity simulation package
- **Page d'accueil:** <https://damask-multiphysics.org>
- **Dernière mise à jour:** 2026-07-12T14:03:34Z
- **Généré:** 2026-08-03T19:37:03+00:00

## exécutables

- DAMASK_grid (alias)
- damask_grid (alias)

## Comportement d'installation

- Bouteille: non disponible

## Version et fraîcheur

- page générée: 2026-08-03
- version du gestionnaire: 3.1.0
## Historique du projet et usages

DAMASK Grid is the regular-grid solver entry point for DAMASK, the Duesseldorf Advanced Material Simulation Kit, a multiphysics crystal-plasticity simulation package used in computational materials science.

### Historique du projet

DAMASK grew as an open materials-science codebase for modeling crystal plasticity, thermal effects, damage, and related multiphysics behavior from microstructure up to component scale. The official literature page lists a 2012 DAMASK publication and a broader 2019 Computational Materials Science paper as core references.

### Historique d'adoption

The grid solver is important to users who want FFT/spectral-style or structured-grid workflows with YAML material and load-case descriptions. DAMASK documentation and examples expose a Python-assisted workflow around material.yaml, numerics.yaml, VTK ImageData geometry, and generated load cases.

### Modes d'utilisation

A typical package-manager install exposes DAMASK_grid for running simulations with a geometry file, load-case YAML, and material.yaml, with OpenMP or MPI used for parallel execution when available.

### Pourquoi les passionnés de paquets s'y intéressent

For package nerds, damask-grid is a scientific CLI where the package is only a small front door into a heavyweight solver stack: compilers, MPI/OpenMP, YAML inputs, HDF5-style result handling, and research reproducibility all matter.

### Chronologie

- 2012: DAMASK literature records an early publication on FE and spectral solver use.
- 2019: The multiphysics DAMASK paper summarized the broader package architecture.
- 2024: Official documentation examples describe modern DAMASK 3-era grid workflows.

### Related projects

- DAMASK Grid is part of the wider DAMASK suite alongside mesh-solver workflows, Python preprocessing/postprocessing helpers, material configuration tooling, and research codes for crystal plasticity and microstructure analysis.

### Sources

- <https://damask-multiphysics.org/>
- <https://damask-multiphysics.org/documentation/usage.html>
- <https://damask-multiphysics.org/documentation/file_formats/grid_solver.html>
- <https://damask-multiphysics.org/3.0.0-alpha7/documentation/literature.html>
- <https://damask-multiphysics.org/dev/installation/source_code.html>


## Notes de sécurité

narrow executable package without higher-risk signals.

- **Risque Geiger:** vert / faible
- narrow executable package without higher-risk signals


## Configuration and credential file locations

These source-backed paths show where this package keeps local settings or durable credentials. Automic Vault can use them as review targets for secret scanning, migration, and command approval.


## Configuration files

- Unix: material.yaml, numerics.yaml, <loadcase>.yaml

## Combined YAML source

View the package source record on GitHub. [combined/damask-grid.yml](https://github.com/mxcl/pkgdb/blob/main/combined/damask-grid.yml)


## Sources

- pkg.so package database
- Geiger risk classifier
- curated configuration and credential file locations
- curated package history
- pkgdb category and tag curation
- cross-ecosystem install command graph