A versatile microstructure tool for large-scale atomistic simulations

Atomistic simulations of polycrystalline systems require realistic microstructure models with resolved atomic coordinates. This work presents a tool that efficiently creates such models. Besides the construction of conventional Voronoi-based polycrystalline models, the tool interfaces with existing software for microstructure generation and analysis, thereby allowing realistic microstructure models based on experimentally determined or synthetic grain geometries obtained from phase field simulations or equivalent ellipsoidal grain (EEG) generation with constrained grain packing, implemented in the DREAM.3D code. The MedeA Microstructure Builder is verified to produce atomistic models of both equiaxed and textured microstructures as well as key statistical information on grain size distributions, geometry, and orientation. Precipitates at grain boundaries, voids, and interstitial atoms may also be inserted to create more complex microstructures. Periodic polycrystal systems with millions of atoms can be generated for use in MD or MC simulations. A complementary database and building tools facilitate the generation of high-symmetry grain boundaries amenable for density-functional theory calculations as well as large-scale simulations using interatomic potentials.

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Publication Details

Journal
Computational Materials Science
Published
2026-10-05
DOI
https://doi.org/10.1016/j.commatsci.2026.115119
Primary Topic
Machine Learning in Materials Science
Type
article
Field-Weighted Citation Impact
0.00

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article

A versatile microstructure tool for large-scale atomistic simulations

Jonathan L. Wormald, Leonid Kahle, Benjamin S. Anglin, E. Wimmer et al.
Computational Materials Science
Machine Learning in Materials Science
article

A versatile microstructure tool for large-scale atomistic simulations

Jonathan L. Wormald, Leonid Kahle, Benjamin S. Anglin, E. Wimmer, Clint B. Geller, Mikael Christensen, Kyle P. Starkey
article en

Abstract

Atomistic simulations of polycrystalline systems require realistic microstructure models with resolved atomic coordinates. This work presents a tool that efficiently creates such models. Besides the construction of conventional Voronoi-based polycrystalline models, the tool interfaces with existing software for microstructure generation and analysis, thereby allowing realistic microstructure models based on experimentally determined or synthetic grain geometries obtained from phase field simulations or equivalent ellipsoidal grain (EEG) generation with constrained grain packing, implemented in the DREAM.3D code. The MedeA Microstructure Builder is verified to produce atomistic models of both equiaxed and textured microstructures as well as key statistical information on grain size distributions, geometry, and orientation. Precipitates at grain boundaries, voids, and interstitial atoms may also be inserted to create more complex microstructures. Periodic polycrystal systems with millions of atoms can be generated for use in MD or MC simulations. A complementary database and building tools facilitate the generation of high-symmetry grain boundaries amenable for density-functional theory calculations as well as large-scale simulations using interatomic potentials.

Computational Materials ScienceVol. 276
Naval Nuclear Laboratory (US)
U.S. Department of Energy
Openalex Percentile: Top 27%
Machine Learning in Materials Science
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A versatile microstructure tool for large-scale atomistic simulations — Jonathan L. Wormald, Leonid Kahle, et al. · Computational Materials Science (2026) | TGRS Research Map | TGRS