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Artificial Synapses: Dimensionality Dependent Plasticity in Halide Perovskite Artificial Synapses for Neuromorphic Computing (Adv. Electron. Mater. 9/2019)
Author(s) -
Kim SungIl,
Lee Yeongjun,
Park MinHo,
Go GyeongTak,
Kim YoungHoon,
Xu Wentao,
Lee HyeonDong,
Kim Hobeom,
Seo DaeGyo,
Lee Wanhee,
Lee TaeWoo
Publication year - 2019
Publication title -
advanced electronic materials
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.25
H-Index - 56
ISSN - 2199-160X
DOI - 10.1002/aelm.201970045
Subject(s) - neuromorphic engineering , materials science , perovskite (structure) , memristor , synaptic plasticity , curse of dimensionality , neuroscience , nanotechnology , artificial neural network , optoelectronics , artificial intelligence , computer science , electronic engineering , engineering , biology , chemical engineering , biochemistry , receptor
In article number 1900008, Tae‐Woo Lee and co‐workers report artificial synapses fabricated with a lowdimensional perovskite layer between the two electrodes. This demonstrates synaptic plasticity with femtojoule level energy consumption similar to biological synapses. This approach may facilitate the use of perovskite artificial synapses for neuromorphic electronics.