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Self‐Selective Organic Memristor by Engineered Conductive Nanofilament Diffusion for Realization of Practical Neuromorphic System (Adv. Electron. Mater. 8/2021)
Author(s) -
Park HeaLim,
Kim MinHwi,
Kim Hyungjin,
Lee SinHyung
Publication year - 2021
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.202170029
Subject(s) - memristor , neuromorphic engineering , materials science , realization (probability) , nanotechnology , conductive polymer , electrical conductor , diffusion , optoelectronics , artificial neural network , polymer , computer science , electronic engineering , artificial intelligence , physics , engineering , composite material , quantum mechanics , mathematics , statistics
Organic Memristor An unprecedented structure of an organic memristor with high self‐selectivity is developed through systematically engineering the conductive nanofilament diffusion in the polymer media by Sin‐Hyung Lee and colleagues in article number 2100299. The maximum size of our organic memristor arrays is found to be more than 1 Mbits, and the neural networks based on the device showed reliable recognition performance.