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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...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2021
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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. |
format | Online Article Text |
id | pubmed-8728856 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
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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