Dynamic Nonlinear Behavior of Ionic Liquid-Based Reservoir Computing Devices-Reference-Cited by-同舟云学术

Dynamic Nonlinear Behavior of Ionic Liquid-Based Reservoir Computing Devices

Published:2022-07-26 Issue:32 Volume:14 Page:36890-36901
ISSN:1944-8244
Container-title:ACS Applied Materials & Interfaces
language:en
Short-container-title:ACS Appl. Mater. Interfaces

Author:

Matsuo Takuma¹²^ORCID,Sato Dan¹²,Koh Sang-Gyu¹²^ORCID,Shima Hisashi²^ORCID,Naitoh Yasuhisa²^ORCID,Akinaga Hiroyuki²^ORCID,Itoh Toshiyuki³^ORCID,Nokami Toshiki⁴^ORCID,Kobayashi Masakazu⁵,Kinoshita Kentaro¹

Affiliation:

1. Department of Applied Physics, Graduate School of Science, Tokyo University of Science, Katsushika, Tokyo 125-8585, Japan

2. Device Technology Research Institute, National Institute of Advanced Industrial Science and Technology, Tsukuba, Ibaraki 305-8565, Japan

3. Toyota Physical and Chemical Research Institute, Nagakute, Aichi 480-1192, Japan

4. Center for Research on Green Sustainable Chemistry, Faculty of Engineering, Tottori University, Koyama, Tottori 680-8552, Japan

5. New Value Creation Office, NAGASE & CO., LTD., Nihonbashi, Tokyo 103-8355, Japan

Funder

Japan Science and Technology Agency

Publisher

American Chemical Society (ACS)

Subject

General Materials Science

Link

https://pubs.acs.org/doi/pdf/10.1021/acsami.2c04167

Reference35 articles.

1. Harnessing Nonlinearity: Predicting Chaotic Systems and Saving Energy in Wireless Communication

2. Real-Time Computing Without Stable States: A New Framework for Neural Computation Based on Perturbations

3. Constructing optimized binary masks for reservoir computing with delay systems

4. Proposal and Experimental Demonstration of Reservoir Computing using Hf0.5Zr0.5O2/Si FeFETs for Neuromorphic Applications

5. Macromagnetic Simulation for Reservoir Computing Utilizing Spin Dynamics in Magnetic Tunnel Junctions

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