diffBloch: Hybrid Physics-Machine Learning Models for Quantitative Electron Diffraction Refinements
Abstract
This repository contains code accompanying the paper "Hybrid Physics-Machine Learning Models for Quantitative Electron Diffraction Refinements". This is research code shared without support or guarantee of quality. Code development is continued on the github repository https://github.com/Differentiable-Electron-Crystallography/diffBloch.
Fields of Study & Subjects
Advanced Electron Microscopy Techniques and Applications
Machine Learning in Materials Science
X-ray Diffraction in Crystallography
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 17 January 2026