Uncovering material deformations via machine learning combined with four-dimensional scanning transmission electron microscopy
Understanding lattice deformations is crucial in determining the properties of nanomaterials, which can become more prominent in future applications ranging from energy harvesting to electronic devices. However, it remains challenging to reveal unexpected deformations that crucially affect material...
| Main Authors: | , , , , , , , |
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| Other Authors: | |
| Format: | Article |
| Language: | English |
| Published: |
Springer Science and Business Media LLC
2024
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| Subjects: | |
| Online Access: | https://hdl.handle.net/1721.1/153596 |