evoxels: A differentiable physics framework for voxel-based microstructure simulations

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Authors: Simon Daubner, Alexander E. Cohen, Benjamin Dörich, Samuel J. Cooper
Cited by: 0

Abstract

Release v1.0.0 Release to accompany review of JOSS paper. Materials science inherently spans disciplines: experimentalists use advanced microscopy to uncover micro- and nanoscale structure, while theorists and computational scientists develop models that link processing, structure, and properties. Bridging these domains is essential for inverse material design where you start from desired performance and work backwards to optimal microstructures and manufacturing routes. Integrating high-resolution imaging with predictive simulations and data‐driven optimization accelerates discovery and deepens understanding of process–structure–property relationships.

Fields of Study & Subjects

Machine Learning in Materials Science Solidification and crystal growth phenomena Microstructure and mechanical properties

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
5 February 2026
Language
EN