Physics and chemistry from parsimonious representations: image analysis via invariant variational autoencoders
Abstract Electron, optical, and scanning probe microscopy methods are generating ever increasing volume of image data containing information on atomic and mesoscale structures and functionalities. This necessitates the development of the machine learning methods for discovery of physical and chemica...
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Sprog: | English |
| Udgivet: |
Nature Portfolio
2024-08-01
|
| Serier: | npj Computational Materials |
| Online adgang: | https://doi.org/10.1038/s41524-024-01250-5 |