An Ultralow Power Li x TiO 2 ‐Based Synaptic Transistor for Scalable Neuromorphic Computing-Reference-Cited by-同舟云学术

An Ultralow Power Li _x TiO ₂ ‐Based Synaptic Transistor for Scalable Neuromorphic Computing

Published:2022-09-23 Issue:12 Volume:8 Page:2200607
ISSN:2199-160X
Container-title:Advanced Electronic Materials
language:en
Short-container-title:Adv Elect Materials

Author:

Nguyen Ngoc‐Anh¹,Schneegans Olivier²^ORCID,Salot Raphaël¹^ORCID,Lamy Yann¹,Giapintzakis John³^ORCID,Mai Van Huy⁴,Oukassi Sami¹^ORCID

Affiliation:

1. Université Grenoble Alpes CEA LETI MINATEC Campus Grenoble F‐38000 France

2. Laboratoire de Génie Electrique et Electronique de Paris CentraleSupélec CNRS Université Paris‐Saclay Sorbonne Université Gif‐sur‐Yvette 91192 France

3. Department of Mechanical and Manufacturing Engineering University of Cyprus 75 Kallipoleos Avenue, P.O. Box 20537 Nicosia 1678 Cyprus

4. Department of Optical Electronic Devices Le Quy Don Technical University 236 Hoang Quoc Viet Hanoi 11917 Vietnam

Publisher

Wiley

Subject

Electronic, Optical and Magnetic Materials

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/aelm.202200607

Reference66 articles.

1. Emerging Memory Devices for Neuromorphic Computing

2. Memory devices and applications for in-memory computing

3. A comprehensive review on emerging artificial neuromorphic devices

4. Electrolyte-gated transistors for neuromorphic applications

5. Memristive and CMOS Devices for Neuromorphic Computing

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Electrolyte Gated Synaptic Transistor based on an Ultra‐Thin Film of La_0.7Sr_0.3MnO₃;Advanced Electronic Materials;2023-04-28

2. A Review on the Progress of Optoelectronic Devices Based on TiO2 Thin Films and Nanomaterials;Nanomaterials;2023-03-23

3. Associative Learning with Oxide-based Electrolyte-gated Transistor Synapses;Journal of Inorganic Materials;2023