Zobrazeno 1 - 10
of 604
pro vyhledávání: '"Kunji, Chen"'
Publikováno v:
Nanomaterials, Vol 14, Iss 17, p 1412 (2024)
As the key hardware of a brain-like chip based on a spiking neuron network (SNN), memristor has attracted more attention due to its similarity with biological neurons and synapses to deal with the audio signal. However, designing stable artificial ne
Externí odkaz:
https://doaj.org/article/0133dc34fccd4a2386fb1a2eba995862
Publikováno v:
Nanomaterials, Vol 14, Iss 15, p 1306 (2024)
As the driving source, highly efficient silicon-based light emission is urgently needed for the realization of optoelectronic integrated chips. Here, we report that enhanced green electroluminescence (EL) can be obtained from oxygen-doped silicon nit
Externí odkaz:
https://doaj.org/article/3b11ba31996346b2960ffedfcf6e0efa
Autor:
Rongrong Yuan, Wentao Qian, Ying Zhang, Zongguang Liu, Junzhuan Wang, Jun Xu, Kunji Chen, Linwei Yu
Publikováno v:
Advanced Electronic Materials, Vol 9, Iss 7, Pp n/a-n/a (2023)
Abstract Flexible and transparent conductive (FTC) thin films are indispensable elements in building high‐performance flexible or soft electronics and displays. Slim inorganic nanowires (NWs), with excellent conductivity and durability, are ideal o
Externí odkaz:
https://doaj.org/article/05350a7e5d134510a2b52cf7df0d1443
Autor:
Xiaopan Song, Lei Wu, Yifei Liang, Zongguang Liu, Junzhuan Wang, Jun Xu, Kunji Chen, Linwei Yu
Publikováno v:
Advanced Electronic Materials, Vol 9, Iss 4, Pp n/a-n/a (2023)
Abstract Catalytic synthesized ultrathin silicon nanowires (SiNWs) are ideal 1D channel materials to fabricate high‐performance transparent and low‐cost thin film transistors (TFTs) that are widely needed for flexible electronics and displays. In
Externí odkaz:
https://doaj.org/article/31d112475d49422685a8ec2f54acf546
Publikováno v:
Nanomaterials, Vol 13, Iss 18, p 2594 (2023)
The 29th International Conference on Amorphous and Nanocrystalline Semiconductors served as a continuation of the biennial conference that has been held since 1965 [...]
Externí odkaz:
https://doaj.org/article/97df3930e74c4f8f8f3828e5f800af00
Autor:
Tong Chen, Zhongyuan Ma, Hongsheng Hu, Yang Yang, Chengfeng Zhou, Furao Shen, Haitao Xu, Jun Xu, Ling Xu, Wei Li, Kunji Chen
Publikováno v:
Nanomaterials, Vol 13, Iss 16, p 2362 (2023)
Inspired by its highly efficient capability to deal with big data, the brain-like computational system has attracted a great amount of attention for its ability to outperform the von Neumann computation paradigm. As the core of the neuromorphic compu
Externí odkaz:
https://doaj.org/article/c57d8f37aac947d49f2102e0e7503d5b
Publikováno v:
AIP Advances, Vol 12, Iss 10, Pp 105212-105212-6 (2022)
As the key hardware unit of computing in memory, 3D NAND flash memory has been the focus of the artificial intelligence (AI) era due to its high efficiency in processing massive and diverse data, which is superior to the conventional von-Neumann arch
Externí odkaz:
https://doaj.org/article/0b2ce8234bb24142993ca2ab177244bb
Autor:
Hongsheng Hu, Zhongyuan Ma, Xinyue Yu, Tong Chen, Chengfeng Zhou, Wei Li, Kunji Chen, Jun Xu, Ling Xu
Publikováno v:
Nanomaterials, Vol 13, Iss 6, p 962 (2023)
Three-dimensional NAND flash memory with high carrier injection efficiency has been of great interest to computing in memory for its stronger capability to deal with big data than that of conventional von Neumann architecture. Here, we first report t
Externí odkaz:
https://doaj.org/article/60e98cfb4eed471581f497dac327c984
Autor:
Teng Sun, Dongke Li, Jiaming Chen, Yuhao Wang, Junnan Han, Ting Zhu, Wei Li, Jun Xu, Kunji Chen
Publikováno v:
Nanomaterials, Vol 13, Iss 6, p 1109 (2023)
Developing high-performance Si-based light-emitting devices is the key step to realizing all-Si-based optical telecommunication. Usually, silica (SiO2) as the host matrix is used to passivate silicon nanocrystals, and a strong quantum confinement eff
Externí odkaz:
https://doaj.org/article/4d230d197e1349fca2730af37682db30
Autor:
Yang Yang, Xu Zhu, Zhongyuan Ma, Hongsheng Hu, Tong Chen, Wei Li, Jun Xu, Ling Xu, Kunji Chen
Publikováno v:
Nanomaterials, Vol 13, Iss 3, p 605 (2023)
Artificial neural networks, as a game-changer to break up the bottleneck of classical von Neumann architectures, have attracted great interest recently. As a unit of artificial neural networks, memristive devices play a key role due to their similari
Externí odkaz:
https://doaj.org/article/12408353c3ca4c2ca14ce79f58f6c062