Zobrazeno 1 - 10
of 612
pro vyhledávání: '"Tow‐Chong Chong"'
Autor:
Kian‐Guan Lim, Shao‐Xiang Go, Chun‐Chia Tan, Yu Jiang, Kui Cai, Tow‐Chong Chong, Stephen R. Elliott, Tae‐Hoon Lee, Desmond K. Loke
Publikováno v:
Advanced Physics Research, Vol 3, Iss 3, Pp n/a-n/a (2024)
Abstract Memristive hardware with reconfigurable conductance levels are leading candidates for achieving artificial neural networks (ANNs). However, owing to difficulties in device character design and circuit combination, the ability to perform comp
Externí odkaz:
https://doaj.org/article/4cd0785974f34a4c991d68526e6d8b76
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:
ACS Applied Materials & Interfaces. 11:20965-20972
Neuromorphic computing has emerged as a highly promising alternative to conventional computing. The key to constructing a large-scale neural network in hardware for neuromorphic computing is to develop artificial neurons with leaky integrate-and-fire
Publikováno v:
ACS Applied Nano Materials. 1:6556-6562
One of the best strategies for achieving faster computers is to mitigate the millisecond-order time delays arising from the transfer and storage of information between silicon- and magnetic-based memories. Segregating-binary-alloy (SBA)-type phase-ch
Publikováno v:
Loke, D, Skelton, J M, Chong, T C & Elliott, S R 2016, ' Design of a Nanoscale, CMOS-Integrable, Thermal-Guiding Structure for Boolean-Logic and Neuromorphic Computation ', ACS Applied Materials and Interfaces, vol. 8, no. 50, pp. 34530-34536 . https://doi.org/10.1021/acsami.6b10667
One of the requirements for achieving faster CMOS electronics is to mitigate the unacceptably large chip areas required to steer heat away from or, more recently, toward the critical nodes of state-of-the-art devices. Thermal-guiding (TG) structures
Autor:
Rong Zhao, Desmond Loke, Tae Hoon Lee, Stephen R. Elliott, Jonathan M. Skelton, Tow Chong Chong
Publikováno v:
Loke, D, Skelton, J, Lee, T H, Zhao, R, Chong, T-C & Elliott, S R 2018, ' Ultrafast Nanoscale Phase-Change Memory Enabled By Single-Pulse Conditioning ', ACS Applied Materials and Interfaces, vol. 10, no. 49, pp. 41855-41870 . https://doi.org/10.1021/acsami.8b16033
We describe how the crystallization kinetics of a suite of phase-change systems can be controlled by using a single-shot treatment via “initial crystallization” effects. Ultrarapid and highly stable phase-change structures (with excellent charact
Lithium in-diffusion treatment of thick LiNbO 3 crystals by the vapor transport equilibration method
Publikováno v:
In Journal of Crystal Growth 2004 260(1):143-147
Autor:
Hongxin Yang, Kian Guan Lim, Rong Zhao, Luping Shi, Lung Tat Ng, Tow Chong Chong, Hock Koon Lee, Jianming Li
Publikováno v:
ECS Journal of Solid State Science and Technology. 4:N13-N17