Protonic solid-state electrochemical synapse for physical neural networks

Designing energy efficient neural networks based on synaptic memristor devices remains a challenge. Here, the authors propose the development of a 3-terminal WO3 synaptic device based on proton intercalation in inorganic materials by leveraging a solid proton reservoir layer PdH x as the gate termin...

Descripción completa

Guardado en:

Detalles Bibliográficos
Autores principales:	Xiahui Yao, Konstantin Klyukin, Wenjie Lu, Murat Onen, Seungchan Ryu, Dongha Kim, Nicolas Emond, Iradwikanari Waluyo, Adrian Hunt, Jesús A. del Alamo, Ju Li, Bilge Yildiz
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2020
Materias:	Science Q
Acceso en línea:	https://doaj.org/article/0856e109046d4101a3dd9ec0156e6679
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:0856e109046d4101a3dd9ec0156e6679
record_format	dspace
spelling	oai:doaj.org-article:0856e109046d4101a3dd9ec0156e66792021-12-02T16:04:12ZProtonic solid-state electrochemical synapse for physical neural networks10.1038/s41467-020-16866-62041-1723https://doaj.org/article/0856e109046d4101a3dd9ec0156e66792020-06-01T00:00:00Zhttps://doi.org/10.1038/s41467-020-16866-6https://doaj.org/toc/2041-1723Designing energy efficient neural networks based on synaptic memristor devices remains a challenge. Here, the authors propose the development of a 3-terminal WO3 synaptic device based on proton intercalation in inorganic materials by leveraging a solid proton reservoir layer PdH x as the gate terminal.Xiahui YaoKonstantin KlyukinWenjie LuMurat OnenSeungchan RyuDongha KimNicolas EmondIradwikanari WaluyoAdrian HuntJesús A. del AlamoJu LiBilge YildizNature PortfolioarticleScienceQENNature Communications, Vol 11, Iss 1, Pp 1-10 (2020)
institution	DOAJ
collection	DOAJ
language	EN
topic	Science Q
spellingShingle	Science Q Xiahui Yao Konstantin Klyukin Wenjie Lu Murat Onen Seungchan Ryu Dongha Kim Nicolas Emond Iradwikanari Waluyo Adrian Hunt Jesús A. del Alamo Ju Li Bilge Yildiz Protonic solid-state electrochemical synapse for physical neural networks
description	Designing energy efficient neural networks based on synaptic memristor devices remains a challenge. Here, the authors propose the development of a 3-terminal WO3 synaptic device based on proton intercalation in inorganic materials by leveraging a solid proton reservoir layer PdH x as the gate terminal.
format	article
author	Xiahui Yao Konstantin Klyukin Wenjie Lu Murat Onen Seungchan Ryu Dongha Kim Nicolas Emond Iradwikanari Waluyo Adrian Hunt Jesús A. del Alamo Ju Li Bilge Yildiz
author_facet	Xiahui Yao Konstantin Klyukin Wenjie Lu Murat Onen Seungchan Ryu Dongha Kim Nicolas Emond Iradwikanari Waluyo Adrian Hunt Jesús A. del Alamo Ju Li Bilge Yildiz
author_sort	Xiahui Yao
title	Protonic solid-state electrochemical synapse for physical neural networks
title_short	Protonic solid-state electrochemical synapse for physical neural networks
title_full	Protonic solid-state electrochemical synapse for physical neural networks
title_fullStr	Protonic solid-state electrochemical synapse for physical neural networks
title_full_unstemmed	Protonic solid-state electrochemical synapse for physical neural networks
title_sort	protonic solid-state electrochemical synapse for physical neural networks
publisher	Nature Portfolio
publishDate	2020
url	https://doaj.org/article/0856e109046d4101a3dd9ec0156e6679
work_keys_str_mv	AT xiahuiyao protonicsolidstateelectrochemicalsynapseforphysicalneuralnetworks AT konstantinklyukin protonicsolidstateelectrochemicalsynapseforphysicalneuralnetworks AT wenjielu protonicsolidstateelectrochemicalsynapseforphysicalneuralnetworks AT muratonen protonicsolidstateelectrochemicalsynapseforphysicalneuralnetworks AT seungchanryu protonicsolidstateelectrochemicalsynapseforphysicalneuralnetworks AT donghakim protonicsolidstateelectrochemicalsynapseforphysicalneuralnetworks AT nicolasemond protonicsolidstateelectrochemicalsynapseforphysicalneuralnetworks AT iradwikanariwaluyo protonicsolidstateelectrochemicalsynapseforphysicalneuralnetworks AT adrianhunt protonicsolidstateelectrochemicalsynapseforphysicalneuralnetworks AT jesusadelalamo protonicsolidstateelectrochemicalsynapseforphysicalneuralnetworks AT juli protonicsolidstateelectrochemicalsynapseforphysicalneuralnetworks AT bilgeyildiz protonicsolidstateelectrochemicalsynapseforphysicalneuralnetworks
_version_	1718385251285204992

Protonic solid-state electrochemical synapse for physical neural networks

Ejemplares similares