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Self-Rectifying DNTT Memristors

Authors
Kim, Chang-Hyun
Issue Date
Nov-2018
Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Keywords
DNTT; organic electronics; diodes; memristors; neuromorphic computing
Citation
IEEE ELECTRON DEVICE LETTERS, v.39, no.11, pp.1736 - 1739
Journal Title
IEEE ELECTRON DEVICE LETTERS
Volume
39
Number
11
Start Page
1736
End Page
1739
URI
https://scholarworks.bwise.kr/gachon/handle/2020.sw.gachon/3157
DOI
10.1109/LED.2018.2871847
ISSN
0741-3106
Abstract
In this letter, a new method for obtaining dynamic hysteresis in flexible thienoacene-based diodes is reported. A major strategy lies in the incorporation of a polymeric interlayer for dual purposes: the polarity inversion and memory effect. It is discovered that the proposed interface engineering transforms a regular organic diode into an efficient self-rectifying memristor, a highly desirable element for emerging neuromorphic applications. An electrical reconfiguration mechanism based on the field behavior at the blocking junction is conceptualized as a guideline for research on related materials and devices.
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Kim, Chang Hyun
College of IT Convergence (Major of Electronic Engineering)
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