Physical based compact model of Y-Flash memristor for neuromorphic computation-Reference-Cited by-同舟云学术

Physical based compact model of Y-Flash memristor for neuromorphic computation

Published:2021-12-27 Issue:26 Volume:119 Page:263504
ISSN:0003-6951
Container-title:Applied Physics Letters
language:en
Short-container-title:Appl. Phys. Lett.

Author:

Wang Wei¹^ORCID,Danial Loai¹,Herbelin Eric¹,Hoffer Barak¹^ORCID,Oved Batel¹,Greenberg-Toledo Tzofnat¹,Pikhay Evgeny²,Roizin Yakov²,Kvatinsky Shahar¹^ORCID

Affiliation:

1. The Andrew and Erna Viterbi Faculty of Electrical and Computer Engineering, Technion–Israel Institute of Technology, Haifa 3200003, Israel

2. Tower Semiconductor, Migdal HaEmek 2310502, Israel

Funder

H2020 European Research Council

Publisher

AIP Publishing

Subject

Physics and Astronomy (miscellaneous)

Link

https://aip.scitation.org/doi/pdf/10.1063/5.0069116

Reference29 articles.

1. Memristive devices for computing

2. Designing crystallization in phase-change materials for universal memory and neuro-inspired computing

3. Hafnia-Based Double-Layer Ferroelectric Tunnel Junctions as Artificial Synapses for Neuromorphic Computing

4. Oxide‐Based Electrolyte‐Gated Transistors for Spatiotemporal Information Processing

5. A non-volatile organic electrochemical device as a low-voltage artificial synapse for neuromorphic computing

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