Zobrazeno 1 - 10
of 877
pro vyhledávání: '"Xu, Zhiming"'
Autor:
Yuan, Zilong, Tang, Zechen, Tao, Honggeng, Gong, Xiaoxun, Chen, Zezhou, Wang, Yuxiang, Li, He, Li, Yang, Xu, Zhiming, Sun, Minghui, Zhao, Boheng, Wang, Chong, Duan, Wenhui, Xu, Yong
Deep learning electronic structures from ab initio calculations holds great potential to revolutionize computational materials studies. While existing methods proved success in deep-learning density functional theory (DFT) Hamiltonian matrices, they
Externí odkaz:
http://arxiv.org/abs/2407.14379
Autor:
Wang, Yuxiang, Li, Yang, Tang, Zechen, Li, He, Yuan, Zilong, Tao, Honggeng, Zou, Nianlong, Bao, Ting, Liang, Xinghao, Chen, Zezhou, Xu, Shanghua, Bian, Ce, Xu, Zhiming, Wang, Chong, Si, Chen, Duan, Wenhui, Xu, Yong
Realizing large materials models has emerged as a critical endeavor for materials research in the new era of artificial intelligence, but how to achieve this fantastic and challenging objective remains elusive. Here, we propose a feasible pathway to
Externí odkaz:
http://arxiv.org/abs/2406.10536
Recent experimental discovery of fractional Chern insulator in moir\'e Chern band in twisted transition metal dichalocogenide homobilayers has sparked intensive interest in exploring the ways of engineering band topology and correlated states in moir
Externí odkaz:
http://arxiv.org/abs/2405.12294
Autor:
Pan, Weiyi, Xu, Zhiming
Antiferromagnetic (AFM) skyrmions, which are resistant to both the skyrmion Hall effect and external magnetic perturbations, are expected to be promising candidates for next-generation spintronics devices. Despite being observed in bulk materials and
Externí odkaz:
http://arxiv.org/abs/2405.09202
Autor:
Yuan, Zilong, Xu, Zhiming, Li, He, Cheng, Xinle, Tao, Honggeng, Tang, Zechen, Zhou, Zhiyuan, Duan, Wenhui, Xu, Yong
Neural network force fields have significantly advanced ab initio atomistic simulations across diverse fields. However, their application in the realm of magnetic materials is still in its early stage due to challenges posed by the subtle magnetic en
Externí odkaz:
http://arxiv.org/abs/2402.04864
This paper addresses spoken language understanding (SLU) on microcontroller-like embedded devices, integrating on-device execution with cloud offloading in a novel fashion. We leverage temporal locality in the speech inputs to a device and reuse rece
Externí odkaz:
http://arxiv.org/abs/2311.18188
Chiral magnetic states in two-dimensional (2D) layered noncentrosymmetric magnets, which are promising advanced spintronic materials, are usually attributed to Dzyaloshinskii-Moriya interactions (DMI). However, the role of underlying higher-order spi
Externí odkaz:
http://arxiv.org/abs/2308.06030
Autor:
Bartram, F. Michael, Li, Meng, Liu, Liangyang, Xu, Zhiming, Wang, Yongchao, Che, Mengqian, Li, Hao, Wu, Yang, Xu, Yong, Zhang, Jinsong, Yang, Shuo, Yang, Luyi
Publikováno v:
Science Bulletin (2023)
Atomically thin van der Waals magnetic materials have not only provided a fertile playground to explore basic physics in the two-dimensional (2D) limit but also created vast opportunities for novel ultrafast functional devices. Here we systematically
Externí odkaz:
http://arxiv.org/abs/2304.09390
The quantum anomalous Hall effect (QAHE) has unique advantages in topotronic applications, but it is still challenging to realize the QAHE with tunable magnetic and topological properties for building functional devices. Through systematic first-prin
Externí odkaz:
http://arxiv.org/abs/2212.12905
Publikováno v:
Nano Lett. 23, 305 (2023)
Finding guiding principles to optimize properties of quantum anomalous Hall (QAH) insulators is of pivotal importance to fundamental science and applications. Here, we build a first-principles QAH material database of chirality and band gap, explore
Externí odkaz:
http://arxiv.org/abs/2210.16873