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FerroNet: Machine Learning Flow for Analysis of Ferroelectric and Ferroelastic Materials
Published online by Cambridge University Press: 05 August 2019
Abstract
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- Type
- Data Acquisition Schemes, Machine Learning Algorithms, and Open Source Software Development for Electron Microscopy
- Information
- Copyright
- Copyright © Microscopy Society of America 2019
References
[2]The authors acknowledge funding from the US Department of Energy, Office of Science, Basic Energy Sciences, Division of Materials Science and Engineering (CN, SVK). The work was performed at the Center for Nanophase Materials Sciences, which is a US DOE Office of Science User Facility.Google Scholar
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