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...
Main Authors: | Bruce Lim, Ewen Bellec, Maxime Dupraz, Steven Leake, Andrea Resta, Alessandro Coati, Michael Sprung, Ehud Almog, Eugen Rabkin, Tobias Schulli, Marie-Ingrid Richard |
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Format: | Article |
Language: | English |
Published: |
Nature Publishing Group
2021-07-01
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Series: | npj Computational Materials |
Online Access: | https://doi.org/10.1038/s41524-021-00583-9 |
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