Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Khin Yin Pang"'
Publikováno v:
Advanced Electronic Materials, Vol 6, Iss 4, Pp n/a-n/a (2020)
Abstract 2D material based memristors have exhibited superior performance as artificial synapses for neuromorphic computing. However, 2D artificial neurons as have note been exploited as an indispensable computational element owing to the rich dynami
Externí odkaz:
https://doaj.org/article/fa78c184f74d45c382b76836e28ddf2d
Autor:
Song Hao, Shuai Zhong, Xinglong Ji, Khin Yin Pang, Nan Wang, Huimin Li, Yu Jiang, Kian Guan Lim, Tow Chong Chong, Rong Zhao, Desmond K. Loke
Publikováno v:
ACS Applied Materials & Interfaces. 13:60209-60215
The transformation from silent to functional synapses is accompanied by the evolutionary process of human brain development and is essential to hardware implementation of the evolutionary artificial neural network but remains a challenge for mimickin
Autor:
Song Hao, Kian Guan Lim, Khin Yin Pang, Xinglong Ji, Faqiang Liu, Tow Chong Chong, Rong Zhao, Shuai Zhong
Publikováno v:
ACS Applied Nano Materials. 4:1766-1775
Memristive devices based on two-dimensional (2D) semiconducting materials have emerged as highly promising neuromorphic devices due to their intrinsic atomic body and unique properties. However, th...
Publikováno v:
IEEE Electron Device Letters. 41:505-508
In this work, we proposed a thin-film selector with a vacuum gap structure for neuromorphic application, which demonstrates outstanding performance including ultra-low leakage current (~0.20 pA), high ON/OFF ratio (> 109), record-high turn-on slope (
Publikováno v:
2021 IEEE International Symposium on the Physical and Failure Analysis of Integrated Circuits (IPFA).
Publikováno v:
Nanoscale. 11:22446-22455
Atomic switches are promising candidates as the basic building blocks for large-scale neuromorphic networks due to their tunable switching behaviors. Several neuromorphic components based on atomic switches have been demonstrated, including artificia