Reservoir Computing with Charge-Trap Memory Based on a MoS

2D semiconductors charge-trap memory neural networks neuromorphic engineering reservoir computing

Journal

Advanced materials (Deerfield Beach, Fla.)
ISSN: 1521-4095
Titre abrégé: Adv Mater
Pays: Germany
ID NLM: 9885358

Informations de publication

Date de publication:
Sep 2023
Historique:
revised: 15 09 2022
received: 14 06 2022
medline: 13 10 2022
pubmed: 13 10 2022
entrez: 12 10 2022
Statut: ppublish

Résumé

Novel memory devices are essential for developing low power, fast, and accurate in-memory computing and neuromorphic engineering concepts that can compete with the conventional complementary metal-oxide-semiconductor (CMOS) digital processors. 2D semiconductors provide a novel platform for advanced semiconductors with atomic thickness, low-current operation, and capability of 3D integration. This work presents a charge-trap memory (CTM) device with a MoS

Identifiants

pubmed: 36222391
doi: 10.1002/adma.202205381
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

e2205381

Subventions

Organisme : European Union's Horizon 2020
ID : 824164

Informations de copyright

© 2022 The Authors. Advanced Materials published by Wiley-VCH GmbH.

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Auteurs

Matteo Farronato (M)

Dipartimento di Elettronica, Informazione e Bioingegneria (DEIB), Politecnico di Milano and IUNET, piazza L. da Vinci 32, Milano, 20133, Italy.

Piergiulio Mannocci (P)

Dipartimento di Elettronica, Informazione e Bioingegneria (DEIB), Politecnico di Milano and IUNET, piazza L. da Vinci 32, Milano, 20133, Italy.

Margherita Melegari (M)

Dipartimento di Elettronica, Informazione e Bioingegneria (DEIB), Politecnico di Milano and IUNET, piazza L. da Vinci 32, Milano, 20133, Italy.

Saverio Ricci (S)

Dipartimento di Elettronica, Informazione e Bioingegneria (DEIB), Politecnico di Milano and IUNET, piazza L. da Vinci 32, Milano, 20133, Italy.

Christian Monzio Compagnoni (CM)

Dipartimento di Elettronica, Informazione e Bioingegneria (DEIB), Politecnico di Milano and IUNET, piazza L. da Vinci 32, Milano, 20133, Italy.

Daniele Ielmini (D)

Dipartimento di Elettronica, Informazione e Bioingegneria (DEIB), Politecnico di Milano and IUNET, piazza L. da Vinci 32, Milano, 20133, Italy.

Classifications MeSH