New-Style Logic Operation and Neuromorphic Computing Enabled by Optoelectronic Artificial Synapses in an MXene/Y:HfO<sub>2</sub> Ferroelectric Memristor-Reference-Cited by-同舟云学术

New-Style Logic Operation and Neuromorphic Computing Enabled by Optoelectronic Artificial Synapses in an MXene/Y:HfO₂ Ferroelectric Memristor

Published:2024-06-04 Issue:24 Volume:16 Page:31348-31362
ISSN:1944-8244
Container-title:ACS Applied Materials & Interfaces
language:en
Short-container-title:ACS Appl. Mater. Interfaces

Author:

Fang Junlin¹^ORCID,Tang Zhenhua¹^ORCID,Lai Xi-Cai¹,Qiu Fan¹,Jiang Yan-Ping¹,Liu Qiu-Xiang¹^ORCID,Tang Xin-Gui¹^ORCID,Sun Qi-Jun¹,Zhou Yi-Chun²^ORCID,Fan Jing-Min³,Gao Ju⁴

Affiliation:

1. School of Physics and Optoelectric Engineering, Guangzhou Higher Education Mega Center, Guangdong University of Technology, Guangzhou 510006, P. R. China

2. School of Advanced Materials and Nanotechnology, Xidian University, Xian 710126, China

3. School of Automation, Guangdong University of Technology, Guangzhou 510006, China

4. Department of Physics, The University of Hong Kong, Hong Kong 999077, P. R. China

Funder

National Natural Science Foundation of China

Natural Science Foundation of Guangdong Province

Special Funds for the Cultivation of Guangdong College Students’ Scientific and Technological Innovation

Guangdong Provincial Overseas Master Program

Open Foundation of Guangdong Provincial Key Laboratory of Electronic Functional Materials and Devices

Guangzhou Basic and Applied Basic Research Foundation

Publisher

American Chemical Society (ACS)

Link

https://pubs.acs.org/doi/pdf/10.1021/acsami.4c05316

Reference69 articles.

1. The future of electronics based on memristive systems

2. Designing carbon conductive filament memristor devices for memory and electronic synapse applications

3. Flexible electronic synapse enabled by ferroelectric field effect transistor for robust neuromorphic computing

4. Global-Gate Controlled One-Transistor One-Digital-Memristor Structure for Low-Bit Neural Network

5. Artificial Sensory Memory

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