Zobrazeno 1 - 10
of 6 318
pro vyhledávání: '"ZHU Zhen"'
Autor:
Yan, Bei, Qi, Yingfeng, Wang, Ziyao, Meng, Yan, Yang, Linyun, Zhu, Zhen-Xiao, Chen, Jing-Ming, Zhong, Yuxin, Cheng, Min-Qi, Xi, Xiang, Gao, Zhen
Recently, topological Dirac-vortex modes in Kekul\'e-distorted photonic lattices have attracted broad interest and exhibited promising applications in robust photonic devices such as topological cavities, lasers, and fibers. However, due to the vecto
Externí odkaz:
http://arxiv.org/abs/2411.03738
Training and deploying reinforcement learning (RL) policies for robots, especially in accomplishing specific tasks, presents substantial challenges. Recent advancements have explored diverse reward function designs, training techniques, simulation-to
Externí odkaz:
http://arxiv.org/abs/2409.08904
We propose an approach for anytime continual learning (AnytimeCL) for open vocabulary image classification. The AnytimeCL problem aims to break away from batch training and rigid models by requiring that a system can predict any set of labels at any
Externí odkaz:
http://arxiv.org/abs/2409.08518
In recent years, nonlinear Hall effect has attracted great attention with three different terms contributed by Drude effect, Berry curvature dipole and Berry connection polarizability. In this work, we theoretically predict an intrinsic second order
Externí odkaz:
http://arxiv.org/abs/2407.20752
Autor:
Wu, Rui, Feil-Seifer, David J, Shill, Ponkoj C, Jamali, Hossein, Dascalu, Sergiu, Harris, Fred, Rosof, Laura, Hutchins, Bryan, Ringler, Marjorie Campo, Zhu, Zhen
Recent advancements in robotics, including applications like self-driving cars, unmanned systems, and medical robots, have had a significant impact on the job market. On one hand, big robotics companies offer training programs based on the job requir
Externí odkaz:
http://arxiv.org/abs/2406.07928
Autor:
Li, Jun-Cen, Zhu, Zhen-Gang
Publikováno v:
J. Phys.: Condens. Matter 36 395802 (2024)
In this paper, we study the intrinsic contribution of nonlinear magnon thermal Hall Effect. We derive the intrinsic second order thermal Hall conductivity of magnon by the thermal scalar potential (TSP) method and the thermal vector potential (TVP) m
Externí odkaz:
http://arxiv.org/abs/2405.06879
To control the magnon transport in magnetic systems is of great interest in magnonics. Due to the feasibility of electric field, how to generate and manipulate magnon with pure electrical method is one of the most desired goals. Here we propose that
Externí odkaz:
http://arxiv.org/abs/2404.14186
The geometric properties of parameter space are mostly described by Berry curvature and quantum metric, which are the imaginary and real part of quantum geometric tensor, respectively. In this work, we calculate the dressed Berry curvature and quantu
Externí odkaz:
http://arxiv.org/abs/2404.13275
Autor:
Wang, Ziyao, Meng, Yan, Yan, Bei, Zhao, Dong, Yang, Linyun, Chen, Jing-Ming, Cheng, Min-Qi, Xiao, Tao, Shum, Perry Ping, Liu, Gui-Geng, Yang, Yihao, Chen, Hongsheng, Xi, Xiang, Zhu, Zhen-Xiao, Xie, Biye, Gao, Zhen
The discovery of photonic higher-order topological insulators (HOTIs) has significantly expanded our understanding of band topology and provided unprecedented lower-dimensional topological boundary states for robust photonic devices. However, due to
Externí odkaz:
http://arxiv.org/abs/2404.05649
This paper explores Memory-Augmented Neural Networks (MANNs), delving into how they blend human-like memory processes into AI. It covers different memory types, like sensory, short-term, and long-term memory, linking psychological theories with AI ap
Externí odkaz:
http://arxiv.org/abs/2312.06141