Highly Reliable Ovonic Threshold Switch with TiN/GeTe/TiN Structure.

1S1R ReRAM crossbar array ovonic threshold switching

Journal

Materials (Basel, Switzerland)
ISSN: 1996-1944
Titre abrégé: Materials (Basel)
Pays: Switzerland
ID NLM: 101555929

Informations de publication

Date de publication:
02 Mar 2023
Historique:
received: 16 01 2023
revised: 17 02 2023
accepted: 22 02 2023
entrez: 11 3 2023
pubmed: 12 3 2023
medline: 12 3 2023
Statut: epublish

Résumé

A new architecture has become necessary owing to the power consumption and latency problems of the von Neumann architecture. A neuromorphic memory system is a promising candidate for the new system as it has the potential to process large amounts of digital information. A crossbar array (CA), which consists of a selector and a resistor, is the basic building block for the new system. Despite the excellent prospects of crossbar arrays, the biggest obstacle for them is sneak current, which can cause a misreading between the adjacent memory cells, thus resulting in a misoperation in the arrays. The chalcogenide-based ovonic threshold switch (OTS) is a powerful selector with highly nonlinear

Identifiants

pubmed: 36903180
pii: ma16052066
doi: 10.3390/ma16052066
pmc: PMC10004575
pii:
doi:

Types de publication

Journal Article

Langues

eng

Subventions

Organisme : Sahmyook University
ID : RI12020078

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Auteurs

Dongjun Seong (D)

Artificial Intelligence Convergence Research Lab, Sahmyook University, Seoul 01795, Republic of Korea.

Su Yeon Lee (SY)

Artificial Intelligence Convergence Research Lab, Sahmyook University, Seoul 01795, Republic of Korea.

Hyun Kyu Seo (HK)

Artificial Intelligence Convergence Research Lab, Sahmyook University, Seoul 01795, Republic of Korea.

Jong-Woo Kim (JW)

Artificial Intelligence Convergence Research Lab, Sahmyook University, Seoul 01795, Republic of Korea.

Minsoo Park (M)

Smith College of Liberal Arts, Sahmyook University, Seoul 01795, Republic of Korea.

Min Kyu Yang (MK)

Artificial Intelligence Convergence Research Lab, Sahmyook University, Seoul 01795, Republic of Korea.

Classifications MeSH