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Exploring physics of ferroelectric domain walls via Bayesian analysis of atomically resolved STEM data
The physics of ferroelectric domain walls is explored using the Bayesian inference analysis of atomically resolved STEM data. We demonstrate that domain wall profile shapes are ultimately sensitive to the nature of the order parameter in the material, including the functional form of Ginzburg-Landau...
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| 出版年: | Nat Commun |
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| 主要な著者: | , , , , , , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
Nature Publishing Group UK
2020
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| 主題: | |
| オンライン・アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7733522/ https://ncbi.nlm.nih.gov/pubmed/33311492 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41467-020-19907-2 |
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