Graphene-based RRAM devices for neural computing
Graphene-based RRAM devices for neural computing
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Lausanne: Frontiers Research Foundation
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English
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Lausanne: Frontiers Research Foundation
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Resistive random access memory is very well known for its potential application in in-memory and neural computing. However, they often have different types of device-to-device and cycle-to-cycle variability. This makes it harder to build highly accurate crossbar arrays. Traditional RRAM designs make use of various filament-based oxide materials for...
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Full title
Graphene-based RRAM devices for neural computing
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TN_cdi_doaj_primary_oai_doaj_org_article_a4c17701382f492f8c70a4ec25384dd5
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_a4c17701382f492f8c70a4ec25384dd5
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ISSN
1662-453X,1662-4548
E-ISSN
1662-453X
DOI
10.3389/fnins.2023.1253075
