Self-Compliant Threshold Switching Devices with High On/Off ratio by Control of Quantized Conductance in Ag Filaments.

conductive filament selector device threshold switch device

Journal

Nano letters
ISSN: 1530-6992
Titre abrégé: Nano Lett
Pays: United States
ID NLM: 101088070

Informations de publication

Date de publication:
12 Apr 2023
Historique:
medline: 31 3 2023
pubmed: 31 3 2023
entrez: 30 3 2023
Statut: ppublish

Résumé

Threshold switches based on conductive metal bridge devices are useful as selectors to block sneak leakage paths in memristor arrays used in neuromorphic computing and emerging nonvolatile memory. We demonstrate that control of Ag-cation concentration in Al

Identifiants

DOI: 10.1021/acs.nanolett.3c00327 PMID: 36996390
pubmed: 36996390
doi: 10.1021/acs.nanolett.3c00327
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

2952-2957

Auteurs

Moonkyu Song (M)

Microelectronic Research Center, Department of Electrical and Computer Engineering, The University of Texas at Austin, Austin, Texas 78758, United States.
ORCID: 0000-0001-6596-6509

Sangheon Lee (S)

Microelectronic Research Center, Department of Electrical and Computer Engineering, The University of Texas at Austin, Austin, Texas 78758, United States.

S S Teja Nibhanupudi (SST)

Microelectronic Research Center, Department of Electrical and Computer Engineering, The University of Texas at Austin, Austin, Texas 78758, United States.

Jatin Vikram Singh (JV)

Microelectronic Research Center, Department of Electrical and Computer Engineering, The University of Texas at Austin, Austin, Texas 78758, United States.

Matthew Disiena (M)

Microelectronic Research Center, Department of Electrical and Computer Engineering, The University of Texas at Austin, Austin, Texas 78758, United States.

Christopher J Luth (CJ)

Microelectronic Research Center, Department of Electrical and Computer Engineering, The University of Texas at Austin, Austin, Texas 78758, United States.

Siyu Wu (S)

Microelectronic Research Center, Department of Electrical and Computer Engineering, The University of Texas at Austin, Austin, Texas 78758, United States.

Matthew J Coupin (MJ)

Department of Mechanical Engineering, The University of Texas at Austin, Austin, Texas 78712, United States.
ORCID: 0000-0001-6020-1013

Jamie H Warner (JH)

Department of Mechanical Engineering, The University of Texas at Austin, Austin, Texas 78712, United States.
ORCID: 0000-0002-1271-2019

Sanjay K Banerjee (SK)

Microelectronic Research Center, Department of Electrical and Computer Engineering, The University of Texas at Austin, Austin, Texas 78758, United States.
ORCID: 0000-0002-4478-7189

Classifications MeSH