Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Renrui Fang"'
Autor:
Renrui Fang, Shaocong Wang, Woyu Zhang, Kuan Ren, Wenxuan Sun, Fei Wang, Jinru Lai, Peiwen Zhang, Xiaoxin Xu, Qing Luo, Ling Li, Zhongrui Wang, Dashan Shang
Publikováno v:
Advanced Electronic Materials, Vol 10, Iss 4, Pp n/a-n/a (2024)
Abstract Time‐delayed reservoir computing with marked strengths of friendly hardware implementation and low training cost is regarded as a promising solution to realize time and energy‐efficient time series information processing and thus receive
Externí odkaz:
https://doaj.org/article/fd16f9a20ac144648b43eeeb01d63976
Autor:
Yang Jiang, Dingchen Wang, Ning Lin, Shuhui Shi, Yi Zhang, Shaocong Wang, Xi Chen, Hegan Chen, Yinan Lin, Kam Chi Loong, Jia Chen, Yida Li, Renrui Fang, Dashan Shang, Qing Wang, Hongyu Yu, Zhongrui Wang
Publikováno v:
Advanced Science, Vol 10, Iss 22, Pp n/a-n/a (2023)
Abstract Intrinsic plasticity of neurons, such as spontaneous threshold lowering (STL) to modulate neuronal excitability, is key to spatial attention of biological neural systems. In‐memory computing with emerging memristors is expected to solve th
Externí odkaz:
https://doaj.org/article/98ec5c6c1ff348a2b1876413dfba54ee
Autor:
Han Xu, Renrui Fang, Shuyu Wu, Junjie An, Woyu Zhang, Chao Li, Jikai Lu, Yue Li, Xiaoxin Xu, Yan Wang, Qi Liu, Dashan Shang
Publikováno v:
Advanced Electronic Materials, Vol 9, Iss 2, Pp n/a-n/a (2023)
Abstract The hardware implementation of artificial neural networks requires synaptic devices with linear and high‐speed weight modulation. Memristors as a candidate suffer from excessive write variation and asymmetric resistance modulation that inh
Externí odkaz:
https://doaj.org/article/b7b34e3a7d6c4e42972bfa5f90f0400c
Publikováno v:
Materials Futures, Vol 2, Iss 2, p 022701 (2023)
The reservoir computing (RC) system, known for its ability to seamlessly integrate memory and computing functions, is considered as a promising solution to meet the high demands for time and energy-efficient computing in the current big data landscap
Externí odkaz:
https://doaj.org/article/22c063cc604e4844a08dd084b3ed85eb
Publikováno v:
Ceramics International. 47:26942-26946
PbNb2O6 (PN)-based piezoceramics are considered important materials used in high temperatures. Whereas, the main problem of PN-based ceramic is its low electrical performance such as piezoelectric constant (d33), severely restricting its practical ap
Autor:
Woyu Zhang, Shaocong Wang, Yi Li, Xiaoxin Xu, Danian Dong, Nanjia Jiang, Fei Wang, Zeyu Guo, Renrui Fang, Chunmeng Dou, Kai Ni, Zhongrui Wang, Dashan Shang, Ming Liu
Publikováno v:
2022 IEEE Symposium on VLSI Technology and Circuits (VLSI Technology and Circuits).
Publikováno v:
Ceramics International
PbNb2O6 (PN)-based ceramics with tungsten bronze structure are promising piezoelectric materials in high-temperature devices such as piezoelectric vibration transducers. However, the PN-based ceramics usually exhibit a low bulk density, which greatly
Autor:
Dashan SHANG, Yue LI, Peiwen ZHANG, Fei WANG, Woyu ZHANG, Han XU, Zeyu GUO, Kuan REN, Renrui FANG
Publikováno v:
Journal of Inorganic Materials. 38:399
Autor:
Han Xu, Renrui Fang, Shuyu Wu, Junjie An, Woyu Zhang, Chao Li, Jikai Lu, Yue Li, Xiaoxin Xu, Yan Wang, Qi Liu, Dashan Shang
Publikováno v:
Advanced Electronic Materials. 9:2200915
Autor:
Han Xu, Jikai Lu, Yue Li, Renrui Fang, Woyu Zhang, Xiaoxin Xu, Yan Wang, Qi Liu, Dashan Shang
Publikováno v:
Applied Physics Letters. 121:113505
Li-ion-based electrolyte-gated transistors (Li-EGTs) have been extensively studied as synaptic devices due to their potential to provide good analog switching of channel conductance, which is a desirable property for the emulation of synaptic weight