Crystal growth characterization of WSe2 thin film using machine learning

Crystal growth characterization of WSe2 thin film using machine learning

Materials characterization remains a labor-intensive process, with a large amount of expert time required to post-process and analyze micrographs. As a result, machine learning has become an essential tool in materials science, including for materials characterization. In this study, we perform an i...

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Bibliographic Details
Main Authors: Isaiah A. Moses, Chengyin Wu, Wesley F. Reinhart
Format: Article
Language:English
Published: Elsevier 2024-06-01
Series:Materials Today Advances
Subjects:
WSe2 thin film
Crystal coverage
Machine learning
Semantic Segmentation
Transfer learning
Materials characterization
Online Access:http://www.sciencedirect.com/science/article/pii/S2590049824000201

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http://www.sciencedirect.com/science/article/pii/S2590049824000201

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