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

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

Abstract 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 r...

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Bibliographic Details
Main Authors: Yongtao Liu, Kyle P. Kelley, Hiroshi Funakubo, Sergei V. Kalinin, Maxim Ziatdinov
Format: Article
Language:English
Published: Wiley 2022-11-01
Series:Advanced Science
Subjects:
automated experiments
deep convolutional neural network
ferroelastic domain walls
piezoresponse force microscopy
Online Access:https://doi.org/10.1002/advs.202203957

Internet

https://doi.org/10.1002/advs.202203957

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