A convolutional neural network for defect classification in Bragg coherent X-ray diffraction

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...

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Bibliographic Details
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
Format: Article
Language:English
Published: Nature Publishing Group 2021-07-01
Series:npj Computational Materials
Online Access:https://doi.org/10.1038/s41524-021-00583-9

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https://doi.org/10.1038/s41524-021-00583-9

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