A convolutional neural network for defect classification in Bragg coherent X-ray diffraction
Abstract Coherent diffraction imaging enables the imaging of individual defects, such as dislocations or stacking faults, in materials. These defects and their surrounding elastic strain fields have a critical influence on the macroscopic properties and functionality of materials. However, their ide...
| Hauptverfasser: | , , , , , , , , , , |
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| Format: | Artikel |
| Sprache: | English |
| Veröffentlicht: |
Nature Portfolio
2021-07-01
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| Schriftenreihe: | npj Computational Materials |
| Online Zugang: | https://doi.org/10.1038/s41524-021-00583-9 |