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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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書誌詳細
出版年:Nat Commun
主要な著者: Nelson, Christopher T., Vasudevan, Rama K., Zhang, Xiaohang, Ziatdinov, Maxim, Eliseev, Eugene A., Takeuchi, Ichiro, Morozovska, Anna N., Kalinin, Sergei V.
フォーマット: Artigo
言語:Inglês
出版事項: Nature Publishing Group UK 2020
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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