Super-resolving microscopy images of Li-ion electrodes for fine-feature quantification using generative adversarial networks
For a deeper understanding of the functional behavior of energy materials, it is necessary to investigate their microstructure, e.g., via imaging techniques like scanning electron microscopy (SEM). However, active materials are often heterogeneous, necessitating quantification of features over large...
| Main Authors: | , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Nature Research
2022
|
| Subjects: | |
| Online Access: | View Fulltext in Publisher |