Synaptic transistors based on a tyrosine-rich peptide for neuromorphic computing-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Synaptic transistors based on a tyrosine-rich peptide for neuromorphic computing

Published:2021 Issue:63 Volume:11 Page:39619-39624
ISSN:2046-2069
Container-title:RSC Advances
language:en
Short-container-title:RSC Adv.

Author:

Song Min-Kyu¹,Song Young-Woong¹^ORCID,Sung Taehoon¹,Namgung Seok Daniel²³,Yoon Jeong Hyun¹,Lee Yoon-Sik⁴,Nam Ki Tae²³^ORCID,Kwon Jang-Yeon¹^ORCID

Affiliation:

1. School of Integrated Technology, Yonsei University, Incheon 21983, Republic of Korea

2. Department of Materials Science and Engineering, Seoul National University, Seoul 08826, Republic of Korea

3. Soft Foundry, Seoul National University, Seoul 08826, Republic of Korea

4. School of Chemical and Biological Engineering, Seoul National University, Seoul 08826, Republic of Korea

Abstract

In this article, we propose an artificial synaptic device based on a proton-conducting peptide material.

Funder

National Research Foundation of Korea

Publisher

Royal Society of Chemistry (RSC)

Subject

General Chemical Engineering,General Chemistry

Link

http://pubs.rsc.org/en/content/articlepdf/2021/RA/D1RA06492D

Reference35 articles.

1. Deep learning

2. Recent Progress on Emerging Transistor‐Based Neuromorphic Devices

3. Recent Progress in Transistor‐Based Optoelectronic Synapses: From Neuromorphic Computing to Artificial Sensory System

4. Resistive switching materials for information processing

5. The future of electronics based on memristive systems

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. InGaZnO-based synaptic transistor with embedded ZnO charge-trapping layer for reservoir computing;Sensors and Actuators A: Physical;2024-08

2. A review on device requirements of resistive random access memory (RRAM)-based neuromorphic computing;APL Materials;2023-09-01

3. Improvement in energy consumption and operational stability of electrolyte-gated synapse transistors using atomic-layer-deposited HfO2 thin films;Materials Science in Semiconductor Processing;2023-01

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号京ICP备18003416号-3