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Solid-state thin-film memistor for electronic neural networksThis paper reports on a tungsten-oxide-based, nonvolatile, electrically reprogrammable, variable resistance device as an analog synaptic memory connection for electronic neural networks. A voltage controlled, reversible injection of H(+) ions in electrochromic thin films of WO3 is utilized to modulate its resistance. A hygroscopic thin film of Cr2O3 is the source of H(+) ions. The resistance of the device can be tailored and stabilized over a wide dynamic range (about 4 orders of magnitude), and the programming speed is modulated by the control voltage. The suitability of such a device in terms of its response speed, reversibility, stability, and cyclability for its use in electronic neural networks is discussed.
Document ID
19900041676
Acquisition Source
Legacy CDMS
Document Type
Reprint (Version printed in journal)
External Source(s)
Authors
Thakoor, S.
(Jet Propulsion Lab., California Inst. of Tech. Pasadena, CA, United States)
Moopenn, A.
(Jet Propulsion Lab., California Inst. of Tech. Pasadena, CA, United States)
Daud, T.
(Jet Propulsion Lab., California Inst. of Tech. Pasadena, CA, United States)
Thakoor, A. P.
(JPL Pasadena, CA, United States)
Date Acquired
August 14, 2013
Publication Date
March 15, 1990
Publication Information
Publication: Journal of Applied Physics
Volume: 67
ISSN: 0021-8979
Subject Category
Solid-State Physics
Accession Number
90A28731
Distribution Limits
Public
Copyright
Other

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