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Enabling Distributed Intelligence with Ferroelectric Multifunctionalities

Distributed intelligence involving a large number of smart sensors and edge computing are highly demanded under the backdrop of increasing cyber‐physical interactive applications including internet of things. Here, the progresses on ferroelectric materials and their enabled devices promising energy...

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Detalles Bibliográficos
Autores principales: Yao, Kui, Chen, Shuting, Lai, Szu Cheng, Yousry, Yasmin Mohamed
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8728856/
https://www.ncbi.nlm.nih.gov/pubmed/34719870
http://dx.doi.org/10.1002/advs.202103842
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author Yao, Kui
Chen, Shuting
Lai, Szu Cheng
Yousry, Yasmin Mohamed
author_facet Yao, Kui
Chen, Shuting
Lai, Szu Cheng
Yousry, Yasmin Mohamed
author_sort Yao, Kui
collection PubMed
description Distributed intelligence involving a large number of smart sensors and edge computing are highly demanded under the backdrop of increasing cyber‐physical interactive applications including internet of things. Here, the progresses on ferroelectric materials and their enabled devices promising energy autonomous sensors and smart systems are reviewed, starting with an analysis on the basic characteristics of ferroelectrics, including high dielectric permittivity, switchable spontaneous polarization, piezoelectric, pyroelectric, and bulk photovoltaic effects. As sensors, ferroelectrics can directly convert the stimuli to signals without requiring external power supply in principle. As energy transducers, ferroelectrics can harvest multiple forms of energy with high reliability and durability. As capacitors, ferroelectrics can directly store electrical charges with high power and ability of pulse‐mode signal generation. Nonvolatile memories derived from ferroelectrics are able to realize digital processors and systems with ultralow power consumption, sustainable operation with intermittent power supply, and neuromorphic computing. An emphasis is made on the utilization of the multiple extraordinary functionalities of ferroelectrics to enable material‐critical device innovations. The ferroelectric characteristics and synergistic functionality combinations are invaluable for realizing distributed sensors and smart systems with energy autonomy.
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spelling pubmed-87288562022-01-11 Enabling Distributed Intelligence with Ferroelectric Multifunctionalities Yao, Kui Chen, Shuting Lai, Szu Cheng Yousry, Yasmin Mohamed Adv Sci (Weinh) Reviews Distributed intelligence involving a large number of smart sensors and edge computing are highly demanded under the backdrop of increasing cyber‐physical interactive applications including internet of things. Here, the progresses on ferroelectric materials and their enabled devices promising energy autonomous sensors and smart systems are reviewed, starting with an analysis on the basic characteristics of ferroelectrics, including high dielectric permittivity, switchable spontaneous polarization, piezoelectric, pyroelectric, and bulk photovoltaic effects. As sensors, ferroelectrics can directly convert the stimuli to signals without requiring external power supply in principle. As energy transducers, ferroelectrics can harvest multiple forms of energy with high reliability and durability. As capacitors, ferroelectrics can directly store electrical charges with high power and ability of pulse‐mode signal generation. Nonvolatile memories derived from ferroelectrics are able to realize digital processors and systems with ultralow power consumption, sustainable operation with intermittent power supply, and neuromorphic computing. An emphasis is made on the utilization of the multiple extraordinary functionalities of ferroelectrics to enable material‐critical device innovations. The ferroelectric characteristics and synergistic functionality combinations are invaluable for realizing distributed sensors and smart systems with energy autonomy. John Wiley and Sons Inc. 2021-10-31 /pmc/articles/PMC8728856/ /pubmed/34719870 http://dx.doi.org/10.1002/advs.202103842 Text en © 2021 The Authors. Advanced Science published by Wiley‐VCH GmbH https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Reviews
Yao, Kui
Chen, Shuting
Lai, Szu Cheng
Yousry, Yasmin Mohamed
Enabling Distributed Intelligence with Ferroelectric Multifunctionalities
title Enabling Distributed Intelligence with Ferroelectric Multifunctionalities
title_full Enabling Distributed Intelligence with Ferroelectric Multifunctionalities
title_fullStr Enabling Distributed Intelligence with Ferroelectric Multifunctionalities
title_full_unstemmed Enabling Distributed Intelligence with Ferroelectric Multifunctionalities
title_short Enabling Distributed Intelligence with Ferroelectric Multifunctionalities
title_sort enabling distributed intelligence with ferroelectric multifunctionalities
topic Reviews
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8728856/
https://www.ncbi.nlm.nih.gov/pubmed/34719870
http://dx.doi.org/10.1002/advs.202103842
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