Zobrazeno 1 - 10
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pro vyhledávání: '"CHEN, Xiang"'
Autor:
Chen, Xiang
Turbulence transport poses a significant challenge in fusion research. The measurement of turbulent fluctuations is critical for comprehending turbulence transport, predicting its behavior, and ultimately controlling it to maximize fusion gain. Howev
Although the superradiant phase transition (SRPT) is prohibited in the paradigmatic quantum Rabi model due to the no-go theorem caused by the $\mathbf{A}$-square term, we demonstrate two distinct types of SRPTs emerging from the normal phase in the a
Externí odkaz:
http://arxiv.org/abs/2412.08305
Autor:
Chen, Xiang
n this work, we propose a latent molecular diffusion model that can make the generated 3D molecules rich in diversity and maintain rich geometric features. The model captures the information of the forces and local constraints between atoms so that t
Externí odkaz:
http://arxiv.org/abs/2412.04242
This paper focuses on spectrum sharing in heterogeneous wireless networks, where nodes with different Media Access Control (MAC) protocols to transmit data packets to a common access point over a shared wireless channel. While previous studies have p
Externí odkaz:
http://arxiv.org/abs/2412.03850
Autor:
Che, Yuzhi, Chen, Long, Wu, Jinfei, Lou, Xinchou, Chen, Xiang, Guan, Xin, Ma, Yan-Qing, Ruan, Manqi
We present a new methodology for determining the strong coupling constant, $\alpha_s$, from the inclusive semi-leptonic decay width of $B$ mesons. We express the semi-leptonic $B$ decay width as a function of $\alpha_s$(5 GeV), the Cabibbo-Kobayashi-
Externí odkaz:
http://arxiv.org/abs/2412.02480
Despite the significant progress made by all-in-one models in universal image restoration, existing methods suffer from a generalization bottleneck in real-world scenarios, as they are mostly trained on small-scale synthetic datasets with limited deg
Externí odkaz:
http://arxiv.org/abs/2412.01427
Autor:
Wu, Junda, Lyu, Hanjia, Xia, Yu, Zhang, Zhehao, Barrow, Joe, Kumar, Ishita, Mirtaheri, Mehrnoosh, Chen, Hongjie, Rossi, Ryan A., Dernoncourt, Franck, Yu, Tong, Zhang, Ruiyi, Gu, Jiuxiang, Ahmed, Nesreen K., Wang, Yu, Chen, Xiang, Deilamsalehy, Hanieh, Park, Namyong, Kim, Sungchul, Yang, Huanrui, Mitra, Subrata, Hu, Zhengmian, Lipka, Nedim, Nguyen, Dang, Zhao, Yue, Luo, Jiebo, McAuley, Julian
Multimodal Large Language Models (MLLMs) have become increasingly important due to their state-of-the-art performance and ability to integrate multiple data modalities, such as text, images, and audio, to perform complex tasks with high accuracy. Thi
Externí odkaz:
http://arxiv.org/abs/2412.02142
Electrolyte is a very important part of rechargeable batteries such as lithium batteries. However, the electrolyte innovation is facing grand challenges due to the complicated solution chemistry and infinite molecular space (>1060 for small molecules
Externí odkaz:
http://arxiv.org/abs/2412.00498
Recent advances in imitation learning have shown significant promise for robotic control and embodied intelligence. However, achieving robust generalization across diverse mounted camera observations remains a critical challenge. In this paper, we in
Externí odkaz:
http://arxiv.org/abs/2411.17458
Autor:
Zhang, Gu-Feng, Haque, Sheikh Rubaiat Ul, Kaj, Kelson J., Chen, Xiang, Seifert, Urban F. P., Zhang, Jingdi, Cremin, Kevin A., Balents, Leon, Wilson, Stephen D., Averitt, Richard D.
Antiferromagnets exhibit rapid spin dynamics in a net zero magnetic background which enables novel spintronic applications and interrogation of many-body quantum phenomena. The layered antiferromagnet Sr$_2$IrO$_4$ hosts an exotic spin one-half Mott
Externí odkaz:
http://arxiv.org/abs/2411.10579