Zobrazeno 1 - 10
of 459
pro vyhledávání: '"Lv, Xiaojing"'
Autor:
Duan, Xiaohui, Li, Yuxuan, Liu, Zhao, Yang, Bin, Zheng, Juepeng, Fu, Haohuan, Zhang, Shaoqing, Xu, Shiming, Gao, Yang, Xue, Wei, Wei, Di, Lv, Xiaojing, Yan, Lifeng, Huang, Haopeng, Lu, Haitian, Wan, Lingfeng, Lin, Haoran, Chang, Qixin, Li, Chenlin, He, Quanjie, Song, Zeyu, Wang, Xuantong, Yu, Yangyang, Fan, Xilong, Qu, Zhaopeng, Xu, Yankun, Guo, Xiuwen, Fei, Yunlong, Wang, Zhaoying, Li, Mingkui, Jiang, Yingjing, Lu, Lv, Su, Liang, Fu, Jiayu, Yu, Peinan, Liu, Weiguo, Wu, Lixin, Wang, Lanning, Liu, Xin, Chen, Dexun, Yang, Guangwen
With current and future leading systems adopting heterogeneous architectures, adapting existing models for heterogeneous supercomputers is of urgent need for improving model resolution and reducing modeling uncertainty. This paper presents our three-
Externí odkaz:
http://arxiv.org/abs/2404.10253
Autor:
Fu, Yuhang, Shen, Weiqi, Cui, Jiahuan, Zheng, Yao, Yang, Guangwen, Liu, Zhao, Zhang, Jifa, Ji, Tingwei, Xie, Fangfang, Lv, Xiaojing, Liu, Hanyue, Liu, Xu, Liu, Xiyang, Song, Xiaoyu, Tao, Guocheng, Yan, Yan, Tucker, Paul, Miller, Steven A. E., Luo, Shirui, Koric, Seid, Zheng, Weimin
A state-of-the-art large eddy simulation code has been developed to solve compressible flows in turbomachinery. The code has been engineered with a high degree of scalability, enabling it to effectively leverage the many-core architecture of the new
Externí odkaz:
http://arxiv.org/abs/2308.06605
Autor:
Song Xiaohui, Lv Xiaojing, He Mengjie, Mao Fei, Bai Jie, Qin Xuan, Hu Yanjie, Ma Zinan, Liu Zhen, Li Xueping, Shen Chenhai, Jiang Yurong, Zhao Xu, Xia Congxin
Publikováno v:
Nanophotonics, Vol 13, Iss 22, Pp 4211-4224 (2024)
Optoelectronic synaptic devices have been regarded as the key component in constructing neuromorphic computing systems. However, the optoelectronic synapses based on conventional 2D transistor are still suffering low photosensitivity and volatile ret
Externí odkaz:
https://doaj.org/article/04275206ba594414a441875947062bad
This open access book mainly focuses on the safe control of robot manipulators. The control schemes are mainly developed based on dynamic neural network, which is an important theoretical branch of deep reinforcement learning. In order to enhance the
Externí odkaz:
http://library.oapen.org/handle/20.500.12657/39583
Autor:
Lv, Xiaojing, Han, Yijing, Li, Yongxue, Wang, Xin, Zhang, Tianyu, Wang, Xiaodan, Zhang, Qianqian, Yang, Dinglong, Zhao, Jianmin
Publikováno v:
In Ecotoxicology and Environmental Safety 15 October 2024 285
Publikováno v:
In Applied Thermal Engineering 15 December 2024 257 Part C
Publikováno v:
In Applied Thermal Engineering 15 December 2024 257 Part C
Publikováno v:
In Applied Thermal Engineering 1 July 2024 248 Part A
Autor:
Cao, Yingying, Zhang, Wei, Wang, Xiaorong, Lv, Xiaojing, Zhang, Yaping, Guo, Kai, Ren, Shuai, Li, Yuan, Wang, Zhongqiu, Chen, Jingya
Publikováno v:
In Heliyon 30 June 2024 10(12)
Publikováno v:
In Comparative Immunology Reports June 2024 6