Zobrazeno 1 - 10
of 254
pro vyhledávání: '"Zhongrui WANG"'
Autor:
Jian Yao, Qinan Wang, Yong Zhang, Yu Teng, Jing Li, Pin Zhao, Chun Zhao, Ziyi Hu, Zongjie Shen, Liwei Liu, Dan Tian, Song Qiu, Zhongrui Wang, Lixing Kang, Qingwen Li
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-11 (2024)
Abstract Developing devices with a wide-temperature range persistent photoconductivity (PPC) and ultra-low power consumption remains a significant challenge for optical synaptic devices used in neuromorphic computing. By harnessing the PPC properties
Externí odkaz:
https://doaj.org/article/223ae0298eab419eb3b3363a3090c55d
Publikováno v:
Advanced Agrochem, Vol 3, Iss 2, Pp 126-132 (2024)
Poly (butylene adipate-co-terephthalate), PBAT, is one of the most popular plastics nowadays and is becoming a large burden to the environment when PBAT waste is accumulated. Biodegradation of PBAT is an environmentally friendly method to treat PBAT
Externí odkaz:
https://doaj.org/article/e2a53a8013764521aa05d360f610e636
Autor:
Yue Yang, Fangduo Zhu, Xumeng Zhang, Pei Chen, Yongzhou Wang, Jiaxue Zhu, Yanting Ding, Lingli Cheng, Chao Li, Hao Jiang, Zhongrui Wang, Peng Lin, Tuo Shi, Ming Wang, Qi Liu, Ningsheng Xu, Ming Liu
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-11 (2024)
Abstract Neural circuits with specific structures and diverse neuronal firing features are the foundation for supporting intelligent tasks in biology and are regarded as the driver for catalyzing next-generation artificial intelligence. Emulating neu
Externí odkaz:
https://doaj.org/article/0b7dd94a3ed4406c87e7cda4fafc03e0
Autor:
Woyu Zhang, Zhi Li, Xinyuan Zhang, Fei Wang, Shaocong Wang, Ning Lin, Yi Li, Jun Wang, Jinshan Yue, Chunmeng Dou, Xiaoxin Xu, Zhongrui Wang, Dashan Shang
Publikováno v:
Advanced Intelligent Systems, Vol 6, Iss 7, Pp n/a-n/a (2024)
Artificial intelligence for graph‐structured data has achieved remarkable success in applications such as recommendation systems, social networks, drug discovery, and circuit annotation. Graph convolutional networks (GCNs) are an effective way to l
Externí odkaz:
https://doaj.org/article/b30619a65a6d4e07b5d70d9ead20fd49
Autor:
Yi Deng, Yi Zhang, Xinyuan Zhang, Yang Jiang, Xi Chen, Yansong Yang, Xin Tong, Yao Cai, Wenjuan Liu, Chengliang Sun, Dashan Shang, Qing Wang, Hongyu Yu, Zhongrui Wang
Publikováno v:
Advanced Science, Vol 11, Iss 26, Pp n/a-n/a (2024)
Abstract Combinatorial optimization (CO) has a broad range of applications in various fields, including operations research, computer science, and artificial intelligence. However, many of these problems are classified as nondeterministic polynomial
Externí odkaz:
https://doaj.org/article/15f99da39ea045b8a0dc07f3a1a6e5b1
Autor:
Jie Wang, Shunhao Yu, Xiliang Ren, Yating Wang, Zhongrui Wang, Qiufeng Meng, Yunping Huang, Yuhong Wang
Publikováno v:
Plants, Vol 13, Iss 17, p 2481 (2024)
Potherb mustard (Brassica juncea var. multiceps) is one of the most commonly consumed leafy vegetable mustards, either fresh or in pickled form. It is rich in glucosinolates, whose hydrolyzed products confer potherb mustard’s distinctive flavor and
Externí odkaz:
https://doaj.org/article/ed1fa8d9fde64b11aeee50cfe472a18f
Publikováno v:
Frontiers in Public Health, Vol 12 (2024)
IntroductionThis study explores the emotional impact of religion-related films through a “cinematherapy” lens. It aims to analyze the emotional patterns in a curated selection of religion-related films compared to a broader sample of acclaimed mo
Externí odkaz:
https://doaj.org/article/ef221e4237004b68947f6033d0362f11
Autor:
Quanzhou Zhu, Biyi Jiang, Jun Lan, Zeyu Hou, Yida Dong, Zhongrui Wang, Xuewei Feng, Mei Shen, Hongyu Yu, Kai Chen, Jiamin Li, Longyang Lin, Feichi Zhou, Yida Li
Publikováno v:
Advanced Electronic Materials, Vol 10, Iss 4, Pp n/a-n/a (2024)
Abstract Doped‐metal oxide‐based memristors, with the potential for improved switching performance and capability for multi‐bit information storage, are attractive candidates in the implementation of artificial neural network (ANN) hardware sys
Externí odkaz:
https://doaj.org/article/451a1f57145e4263bf46c46f58c35e40
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:
Ning Lin, Jia Chen, Ruoyu Zhao, Yangu He, Kwunhang Wong, Qinru Qiu, Zhongrui Wang, J. Joshua Yang
Publikováno v:
APL Machine Learning, Vol 2, Iss 1, Pp 010901-010901-18 (2024)
Despite the significant progress made in deep learning on digital computers, their energy consumption and computational speed still fall short of meeting the standards for brain-like computing. To address these limitations, reservoir computing (RC) h
Externí odkaz:
https://doaj.org/article/a8dfa08a09ca44ddbdb222422e63c4ad