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