Zobrazeno 1 - 10
of 2 037
pro vyhledávání: '"ChEN, JunfENg"'
Autor:
Huang, Xing, Zhang, Hengyuan, Li, Jingyuan, Huo, Mengwu, Chen, Junfeng, Qiu, Zhengyang, Ma, Peiyue, Huang, Chaoxin, Sun, Hualei, Wang, Meng
The discovery of high-temperature superconductivity in La$_3$Ni$_2$O$_7$ and La$_4$Ni$_3$O$_{10}$ under pressure has drawn extensive attention. Herein, we report systematic investigations on the evolutions of structure, magnetism, and electrical resi
Externí odkaz:
http://arxiv.org/abs/2410.07861
The Android ecosystem is profoundly fragmented due to the frequent updates of the Android system and the prevalent customizations by mobile device manufacturers. Previous research primarily focused on identifying and repairing evolution-induced API c
Externí odkaz:
http://arxiv.org/abs/2408.01810
Autor:
Zhao, Zhiyu, Liu, Qibin, Chen, Jiyuan, Chen, Jing, Chen, Junfeng, Chen, Xiang, Fu, Changbo, Guo, Jun, Khaw, Kim Siang, Li, Liang, Li, Shu, Liu, Danning, Liu, Kun, Song, Siyuan, Sun, Tong, Tang, Jiannan, Wang, Yufeng, Wang, Zhen, Wu, Weihao, Yang, Haijun, Lin, Yuming, Yuan, Rui, Zhang, Yulei, Zhang, Yunlong, Zhou, Baihong, Zhu, Xuliang, Zhu, Yifan
This paper presents the design and optimization of a LYSO crystal electromagnetic calorimeter (ECAL) for the DarkSHINE experiment, which aims to search for dark photons as potential mediators of dark forces. The ECAL design was evaluated through comp
Externí odkaz:
http://arxiv.org/abs/2407.17800
Autor:
Chen, Junfeng, Wu, Kailiang
Publikováno v:
Poster in International Conference on Machine Learning (ICML) 2024
Operator learning for Partial Differential Equations (PDEs) is rapidly emerging as a promising approach for surrogate modeling of intricate systems. Transformers with the self-attention mechanism$\unicode{x2013}$a powerful tool originally designed fo
Externí odkaz:
http://arxiv.org/abs/2405.09285
Autor:
Li, Jingyuan, Chen, Cui-Qun, Huang, Chaoxin, Han, Yifeng, Huo, Mengwu, Huang, Xing, Ma, Peiyue, Qiu, Zhengyang, Chen, Junfeng, Hu, Xunwu, Chen, Lan, Xie, Tao, Shen, Bing, Sun, Hualei, Yao, Dao-Xin, Wang, Meng
Publikováno v:
SCIENCE CHINA Physics, Mechanics & Astronomy 67.11(2024):117403
Atomic structure and electronic band structure are fundamental properties for understanding the mechanism of superconductivity. Motivated by the discovery of pressure-induced high-temperature superconductivity at 80 K in the bilayer Ruddlesden-Popper
Externí odkaz:
http://arxiv.org/abs/2311.16763
Coalition is an important mean of multi-robot systems to collaborate on common tasks. An adaptive coalition strategy is essential for the online performance in dynamic and unknown environments. In this work, the problem of territory defense by large-
Externí odkaz:
http://arxiv.org/abs/2305.15729
Multi-agent systems can be extremely efficient when working concurrently and collaboratively, e.g., for transportation, maintenance, search and rescue. Coordination of such teams often involves two aspects: (i) selecting appropriate sub-teams for dif
Externí odkaz:
http://arxiv.org/abs/2305.12860
Autor:
Jiang, Wenbing, Chen, Junfeng, Liu, Xiaoyu, Niu, Zhengqi, Liu, Kuang, Peng, Wei, Wang, Zhen, Lin, Zhi-Rong
The quantum excitations of macroscopic surface acoustic waves (SAWs) have been tailored to control, communicate and transduce stationary and flying quantum states. However, the limited lifetime of this hybrid quantum systems remains critical obstacle
Externí odkaz:
http://arxiv.org/abs/2304.00511
Publikováno v:
Gongye shui chuli, Vol 44, Iss 7, Pp 113-118 (2024)
Karenia mikimotoi is a classical red tide microalgae that causes red tide, which can cause water pollution and even death of animals and plants in water. In this experiment, the expanded perlite (EP) was used as a floating carrier, and floating photo
Externí odkaz:
https://doaj.org/article/2b468fe0309b4b57b11bdf526843c6e5
Autor:
Chen, Junfeng, Wu, Kailiang
This paper proposes a novel deep learning approach for learning operators in semigroup, with applications to modeling unknown autonomous dynamical systems using time series data collected at varied time lags. It is a sequel to the previous flow map l
Externí odkaz:
http://arxiv.org/abs/2302.03358