Zobrazeno 1 - 10
of 16 160
pro vyhledávání: '"LIN, Xiao"'
We discover that a large family of [Pb$_2$F$_2$]- and [Bi$_2$O$_2$]-based mixed-anion materials with a litharge-type structural unit are highly polarizable layered semiconductors on the edge of ferroelectricity. First-principles calculations demonstr
Externí odkaz:
http://arxiv.org/abs/2412.11577
Autor:
Yu, Youxiu, Gao, Dongliang, Yang, Yukun, Liu, Liangliang, Li, Zhuo, Yang, Qianru, Wu, Haotian, Zou, Linyang, Lin, Xiao, Xiong, Jiang, Hou, Songyan, Gao, Lei, Hu, Hao
Coherent wave control is of key importance across a broad range of fields such as electromagnetics, photonics, and acoustics. It enables us to amplify or suppress the outgoing waves via engineering amplitudes and phases of multiple incidences. Howeve
Externí odkaz:
http://arxiv.org/abs/2411.00574
Autor:
Kamenica, Emir, Lin, Xiao
When does a Sender, in a Sender-Receiver game, strictly value commitment? In a setting with finite actions and finite states, we establish that, generically, Sender values commitment if and only if he values randomization. In other words, commitment
Externí odkaz:
http://arxiv.org/abs/2410.17503
Autor:
Lin, Xiao-Dong, Zhang, Long
While non-Hermitian (NH) topological phases and phenomena have been observed across various quantum systems, directly measuring NH topological invariants remains a significant challenge. In this study, we present a generic and unified framework for t
Externí odkaz:
http://arxiv.org/abs/2410.13241
MoTE: Reconciling Generalization with Specialization for Visual-Language to Video Knowledge Transfer
Autor:
Zhu, Minghao, Wang, Zhengpu, Hu, Mengxian, Dang, Ronghao, Lin, Xiao, Zhou, Xun, Liu, Chengju, Chen, Qijun
Transferring visual-language knowledge from large-scale foundation models for video recognition has proved to be effective. To bridge the domain gap, additional parametric modules are added to capture the temporal information. However, zero-shot gene
Externí odkaz:
http://arxiv.org/abs/2410.10589
Multivariate Time Series (MTS) forecasting is a fundamental task with numerous real-world applications, such as transportation, climate, and epidemiology. While a myriad of powerful deep learning models have been developed for this task, few works ha
Externí odkaz:
http://arxiv.org/abs/2410.02195
Humanoid robots, with the potential to perform a broad range of tasks in environments designed for humans, have been deemed crucial for the basis of general AI agents. When talking about planning and controlling, although traditional models and task-
Externí odkaz:
http://arxiv.org/abs/2409.18361
The Brewster effect, dating back to the pioneering work of Sir David Brewster in 1815, offers a crucial route to achieve 100% energy conversion between the incident and transmitted propagating waves at an optical interface and is of fundamental impor
Externí odkaz:
http://arxiv.org/abs/2409.08455
Cherenkov radiation in artificial structures experiencing strong radiation enhancements promises important applications in free-electron quantum emitters, broadband light sources, miniaturized particle detectors, etc. However, the momentum matching c
Externí odkaz:
http://arxiv.org/abs/2408.13993
Autor:
Fu, Xiaoshuai, Huang, Li, Liu, Kun, Henriques, João C. G., Gao, Yixuan, Han, Xianghe, Chen, Hui, Wang, Yan, Palma, Carlos-Andres, Cheng, Zhihai, Lin, Xiao, Du, Shixuan, Ma, Ji, Fernández-Rossier, Joaquín, Feng, Xinliang, Gao, Hong-Jun
Understanding and engineering the coupling of spins in nanomaterials is of central importance for designing novel devices. Graphene nanostructures with {\pi}-magnetism offer a chemically tunable platform to explore quantum magnetic interactions. Howe
Externí odkaz:
http://arxiv.org/abs/2407.20511