Hostname: page-component-586b7cd67f-gb8f7 Total loading time: 0 Render date: 2024-11-26T21:05:13.151Z Has data issue: false hasContentIssue false

Spatial Order of Latent Variables to Characterize Multi-range Symmetry Lowering Distortions in a Pd3Bi2Se2 Superconductor

Published online by Cambridge University Press:  22 July 2022

Christopher T. Nelson
Affiliation:
The Center for Nanophase Materials Sciences, Oak Ridge National Laboratory, Oak Ridge, TN, USA
Jason Lapano
Affiliation:
Materials Science and Technology Division, Oak Ridge National Laboratory, Oak Ridge, TN, USA
Matthew Brahlek
Affiliation:
Materials Science and Technology Division, Oak Ridge National Laboratory, Oak Ridge, TN, USA
Sergei V. Kalinin
Affiliation:
The Center for Nanophase Materials Sciences, Oak Ridge National Laboratory, Oak Ridge, TN, USA

Abstract

Image of the first page of this content. For PDF version, please use the ‘Save PDF’ preceeding this image.'
Type
On Demand - Artificial Intelligence, Instrument Automation, and High-Dimensional Data Analytics for Microscopy and Microanalysis
Copyright
Copyright © Microscopy Society of America 2022

References

Cao, Y., Fatemi, V., Fang, S. et al. Nature 556, 43 (2018)10.1038/nature26160CrossRefGoogle Scholar
Lapano, J. et al. , APL Materials 9, 101110 (2021).10.1063/5.0064746CrossRefGoogle Scholar
This work was supported by the U.S Department of Energy, Office of Science, Basic Energy Sciences, Materials Sciences and Engineering Division and the National Quantum Information Science Research Centers, Quantum Science Center.Google Scholar