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Machine Learning-Driven Automated Scanning Probe Microscopy for Ferroelectrics
Published online by Cambridge University Press: 22 July 2022
Abstract
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- Type
- Microscopy Infrastructures: Architectures, Avenues and Access
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- Copyright
- Copyright © Microscopy Society of America 2022
References
Liu, Y et al. , arXiv preprint, arXiv:2202.01089 (2022).Google Scholar
Liu, Y et al. , arXiv preprint arXiv:2111.09918 (2021).Google Scholar
This work is supported by the U.S. Department of Energy, Office of Science, Office of Basic Energy Sciences Energy Frontier Research Centers program under Award Number DE-SC0021118. This work is conducted at the Center for Nanophase Materials Sciences, a US Department of Energy Office of Science User Facility.Google Scholar
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