Exploring physics of ferroelectric domain walls via Bayesian analysis of atomically resolved STEM data
Ferroelectric domain wall profiles can be modeled by phenomenological Ginzburg-Landau theory, with different candidate models and parameters. Here, the authors solve the problem of model selection by developing a Bayesian inference framework allowing for uncertainty quantification and apply it to at...
| Main Authors: | , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Nature Publishing Group
2020-12-01
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| Series: | Nature Communications |
| Online Access: | https://doi.org/10.1038/s41467-020-19907-2 |