Exploration of Analog Synaptic Plasticity and Convolutional Neural Network Simulation in Bilayer TiOxNy/SnOx Memristor for Neuromorphic Systems-Reference-Cited by-同舟云学术

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Exploration of Analog Synaptic Plasticity and Convolutional Neural Network Simulation in Bilayer TiO_xN_y/SnO_x Memristor for Neuromorphic Systems

Published:2024-07-09 Issue:8 Volume:6 Page:3514-3522
ISSN:2639-4979
Container-title:ACS Materials Letters
language:en
Short-container-title:ACS Materials Lett.

Author:

Ismail Muhammad¹^ORCID,Kim Doohyung¹,Lim Eunjin¹,Rasheed Maria²,Mahata Chandreswar¹^ORCID,Seo Yeongkyo³,Kim Sungjun¹^ORCID

Affiliation:

1. Division of Electronics and Electrical Engineering, Dongguk University, Seoul 04620, Republic of Korea

2. Department of Advanced Battery Convergence Engineering, Seoul 04620, Republic of Korea

3. Department of Information and Communication Engineering, Inha University, Incheon 22212, Republic of Korea

Funder

National Research Foundation of Korea

Publisher

American Chemical Society (ACS)

Link

https://pubs.acs.org/doi/pdf/10.1021/acsmaterialslett.4c00406

Reference64 articles.

1. Binary Electronic Synapses for Integrating Digital and Neuromorphic Computation in a Single Physical Platform

2. Programmable electronic synapse and nonvolatile resistive switches using MoS2 quantum dots

3. Uniformity Improvement of Ti/ZrO₂/Pt RRAM by Analyzing and Reducing Current Overshoot

4. Quantum Conductance in Vertical Hexagonal Boron Nitride Memristors with Graphene-Edge Contacts

5. Size dependence of charge retention in gold-nanoparticles sandwiched between thin layers of titanium oxide and silicon oxide

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