Exploring Physics of Ferroelectric Domain Walls in Real Time: Deep Learning Enabled Scanning Probe Microscopy

The functionality of ferroelastic domain walls in ferroelectric materials is explored in real‐time via the in situ implementation of computer vision algorithms in scanning probe microscopy (SPM) experiment. The robust deep convolutional neural network (DCNN) is implemented based on a deep residual l...

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Detalles Bibliográficos
Autores principales: Liu, Yongtao, Kelley, Kyle P., Funakubo, Hiroshi, Kalinin, Sergei V., Ziatdinov, Maxim
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2022
Materias:
Research Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9631058/
https://www.ncbi.nlm.nih.gov/pubmed/36065001
http://dx.doi.org/10.1002/advs.202203957

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9631058/
https://www.ncbi.nlm.nih.gov/pubmed/36065001
http://dx.doi.org/10.1002/advs.202203957

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