Zobrazeno 1 - 10
of 6 143
pro vyhledávání: '"Zhu, PENg"'
Autor:
Li, Dong, Liu, Xing-Yu, Ye, Xing-Guo, Pan, Zhen-Cun, Xu, Wen-Zheng, Zhu, Peng-Fei, Wang, An-Qi, Watanabe, Kenji, Taniguchi, Takashi, Liao, Zhi-Min
Publikováno v:
Physical Review B 110, L100409 (2024)
We report the synergy between orbital and spin-orbit torques in WTe2/Fe3GeTe2 heterostructures characterized by a Berry curvature dipole. By applying a current along the a axis in WTe2, we detect an out-of-plane magnetization in the system, which we
Externí odkaz:
http://arxiv.org/abs/2412.02491
Publikováno v:
Physical Review B 110, L201407 (2024)
In materials with spin-momentum locked spin textures, such as Rashba states and topological surface states, the current-induced shift of the Fermi contour in the k space leads to spin polarization, known as the Edelstein effect, which depends linearl
Externí odkaz:
http://arxiv.org/abs/2412.02938
Autor:
Fan, Kaixuan, Hua, Ze, Gu, Siyao, Zhu, Peng, Liu, Guangtong, Ren, Hechen, Shao, Ruiwen, Wang, Zhiwei, Lu, Li, Yang, Fan
Publikováno v:
Materials 2024, 17(22), 5460
Understanding the physical and chemical processes at the interface of metals and topological insulators is crucial for developing the next generation of topological quantum devices. Here we report the discovery of robust superconductivity in Pd/Bi$_2
Externí odkaz:
http://arxiv.org/abs/2412.00701
As financial markets grow increasingly complex in the big data era, accurate stock prediction has become more critical. Traditional time series models, such as GRUs, have been widely used but often struggle to capture the intricate nonlinear dynamics
Externí odkaz:
http://arxiv.org/abs/2410.20679
Stock price prediction is a challenging problem in the field of finance and receives widespread attention. In recent years, with the rapid development of technologies such as deep learning and graph neural networks, more research methods have begun t
Externí odkaz:
http://arxiv.org/abs/2409.08282
Transformer-based and MLP-based methods have emerged as leading approaches in time series forecasting (TSF). While Transformer-based methods excel in capturing long-range dependencies, they suffer from high computational complexities and tend to over
Externí odkaz:
http://arxiv.org/abs/2406.03751
Autor:
Zhu, Shihao, Wu, Juefei, Zhu, Peng, Pei, Cuiying, Wang, Qi, Jia, Donghan, Wang, Xinyu, Zhao, Yi, Gao, Lingling, Li, Changhua, Cao, Weizheng, Zhang, Mingxin, Zhang, Lili, Li, Mingtao, Gou, Huiyang, Yang, Wenge, Sun, Jian, Chen, Yulin, Wang, Zhiwei, Yao, Yugui, Qi, Yanpeng
Publikováno v:
Advanced Science 2023,10, 2301332
Topological transition metal dichalcogenides (TMDCs) have attracted much attention due to its potential applications in spintronics and quantum computations. In this work, we systematically investigate the structural and electronic properties of topo
Externí odkaz:
http://arxiv.org/abs/2310.12850
Autor:
Zhang, Xiangrong, Zhang, Tianyang, Wang, Guanchun, Zhu, Peng, Tang, Xu, Jia, Xiuping, Jiao, Licheng
Remote sensing object detection (RSOD), one of the most fundamental and challenging tasks in the remote sensing field, has received longstanding attention. In recent years, deep learning techniques have demonstrated robust feature representation capa
Externí odkaz:
http://arxiv.org/abs/2309.06751
In this paper, by using weakly \widetilde{\mathcal{D}}^+_J (resp. \mathcal{D}^+_J )-closed technique firstly introduced by Tan, Wang, Zhou and Zhu, we will give a characterization of tamed and weakened tamed four-manifolds, and an almost Kaehler vers
Externí odkaz:
http://arxiv.org/abs/2305.09213
Autor:
Wei-ning Fang, Hai-xia Wu, Zhu-peng Wu, Zhao-dong Fei, Dan Zhao, Fei Chen, Cheng Lin, Li-qin Ma
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-11 (2024)
Abstract To develop a simple scoring system based on baseline inflammatory and nutritional markers to predict the long-term prognosis of patients with nasopharyngeal carcinoma (NPC). Conducted a retrospective analysis of clinical data from 1024 newly
Externí odkaz:
https://doaj.org/article/12e14c2d38604b5abdbd7610043889ed
