Revealing ferroelectric switching character using deep recurrent neural networks

The scale and dimensionality of imaging data means information is commonly overlooked. Here, using recurrent neural networks we understand temporal dependencies in hyperspectral imagery, enabling the observation of differences in ferroelectric switching mechanisms in PbZr0.2Ti0.8O3 thin films due to...

Descripción completa

Guardado en:

Detalles Bibliográficos
Autores principales:	Joshua C. Agar, Brett Naul, Shishir Pandya, Stefan van der Walt, Joshua Maher, Yao Ren, Long-Qing Chen, Sergei V. Kalinin, Rama K. Vasudevan, Ye Cao, Joshua S. Bloom, Lane W. Martin
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2019
Materias:	Science Q
Acceso en línea:	https://doaj.org/article/6c60e037e5014ff79246798588ae89fa
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:6c60e037e5014ff79246798588ae89fa
record_format	dspace
spelling	oai:doaj.org-article:6c60e037e5014ff79246798588ae89fa2021-12-02T15:35:35ZRevealing ferroelectric switching character using deep recurrent neural networks10.1038/s41467-019-12750-02041-1723https://doaj.org/article/6c60e037e5014ff79246798588ae89fa2019-10-01T00:00:00Zhttps://doi.org/10.1038/s41467-019-12750-0https://doaj.org/toc/2041-1723The scale and dimensionality of imaging data means information is commonly overlooked. Here, using recurrent neural networks we understand temporal dependencies in hyperspectral imagery, enabling the observation of differences in ferroelectric switching mechanisms in PbZr0.2Ti0.8O3 thin films due to formation of charged domain walls.Joshua C. AgarBrett NaulShishir PandyaStefan van der WaltJoshua MaherYao RenLong-Qing ChenSergei V. KalininRama K. VasudevanYe CaoJoshua S. BloomLane W. MartinNature PortfolioarticleScienceQENNature Communications, Vol 10, Iss 1, Pp 1-11 (2019)
institution	DOAJ
collection	DOAJ
language	EN
topic	Science Q
spellingShingle	Science Q Joshua C. Agar Brett Naul Shishir Pandya Stefan van der Walt Joshua Maher Yao Ren Long-Qing Chen Sergei V. Kalinin Rama K. Vasudevan Ye Cao Joshua S. Bloom Lane W. Martin Revealing ferroelectric switching character using deep recurrent neural networks
description	The scale and dimensionality of imaging data means information is commonly overlooked. Here, using recurrent neural networks we understand temporal dependencies in hyperspectral imagery, enabling the observation of differences in ferroelectric switching mechanisms in PbZr0.2Ti0.8O3 thin films due to formation of charged domain walls.
format	article
author	Joshua C. Agar Brett Naul Shishir Pandya Stefan van der Walt Joshua Maher Yao Ren Long-Qing Chen Sergei V. Kalinin Rama K. Vasudevan Ye Cao Joshua S. Bloom Lane W. Martin
author_facet	Joshua C. Agar Brett Naul Shishir Pandya Stefan van der Walt Joshua Maher Yao Ren Long-Qing Chen Sergei V. Kalinin Rama K. Vasudevan Ye Cao Joshua S. Bloom Lane W. Martin
author_sort	Joshua C. Agar
title	Revealing ferroelectric switching character using deep recurrent neural networks
title_short	Revealing ferroelectric switching character using deep recurrent neural networks
title_full	Revealing ferroelectric switching character using deep recurrent neural networks
title_fullStr	Revealing ferroelectric switching character using deep recurrent neural networks
title_full_unstemmed	Revealing ferroelectric switching character using deep recurrent neural networks
title_sort	revealing ferroelectric switching character using deep recurrent neural networks
publisher	Nature Portfolio
publishDate	2019
url	https://doaj.org/article/6c60e037e5014ff79246798588ae89fa
work_keys_str_mv	AT joshuacagar revealingferroelectricswitchingcharacterusingdeeprecurrentneuralnetworks AT brettnaul revealingferroelectricswitchingcharacterusingdeeprecurrentneuralnetworks AT shishirpandya revealingferroelectricswitchingcharacterusingdeeprecurrentneuralnetworks AT stefanvanderwalt revealingferroelectricswitchingcharacterusingdeeprecurrentneuralnetworks AT joshuamaher revealingferroelectricswitchingcharacterusingdeeprecurrentneuralnetworks AT yaoren revealingferroelectricswitchingcharacterusingdeeprecurrentneuralnetworks AT longqingchen revealingferroelectricswitchingcharacterusingdeeprecurrentneuralnetworks AT sergeivkalinin revealingferroelectricswitchingcharacterusingdeeprecurrentneuralnetworks AT ramakvasudevan revealingferroelectricswitchingcharacterusingdeeprecurrentneuralnetworks AT yecao revealingferroelectricswitchingcharacterusingdeeprecurrentneuralnetworks AT joshuasbloom revealingferroelectricswitchingcharacterusingdeeprecurrentneuralnetworks AT lanewmartin revealingferroelectricswitchingcharacterusingdeeprecurrentneuralnetworks
_version_	1718386538317873152

Revealing ferroelectric switching character using deep recurrent neural networks

Ejemplares similares