One-dimensional organic artificial multi-synapses enabling electronic textile neural network for wearable neuromorphic applications-Reference-Cited by-同舟云学术

One-dimensional organic artificial multi-synapses enabling electronic textile neural network for wearable neuromorphic applications

Published:2020-07-10 Issue:28 Volume:6 Page:
ISSN:2375-2548
Container-title:Science Advances
language:en
Short-container-title:Sci. Adv.

Author:

Ham Seonggil¹^ORCID,Kang Minji²^ORCID,Jang Seonghoon¹^ORCID,Jang Jingon¹,Choi Sanghyeon¹^ORCID,Kim Tae-Wook³^ORCID,Wang Gunuk¹^ORCID

Affiliation:

1. KU-KIST Graduate School of Converging Science and Technology, Korea University, 145 Anam-ro, Seongbuk-gu, Seoul 02841, Republic of Korea.

2. Institute of Advanced Composite Materials, Korea Institute of Science and Technology, 92 Chudong-ro, Bongdong-eup, Wanju-gun, Jeollabuk-do 55324, Republic of Korea.

3. Department of Flexible and Printable Electronics, Jeonbuk National University, 567 Baekje-daero, Deokjin-gu, Jeonju-si, Jeollabuk-do 54896, Republic of Korea.

Abstract

We developed 1D multi-synaptic device toward the development of an e-textile neutral network for wearable intelligent applications.

Funder

National Research Foundation of Korea

Samsung Electronics

the KU-KIST research fund

Korea University Grant

Publisher

American Association for the Advancement of Science (AAAS)

Subject

Multidisciplinary

Reference57 articles.