Zobrazeno 1 - 10
of 20 156
pro vyhledávání: '"HUANG Li⁃an"'
Autor:
Huang, Li
ACTest is an open-source toolkit developed in the Julia language. Its central goal is to automatically establish analytic continuation testing datasets, which include a large number of spectral functions and the corresponding Green's functions. These
Externí odkaz:
http://arxiv.org/abs/2411.16412
Autor:
Huang, Li, Lu, Haiyan
PuCoGa5 has attracted significant attention due to its record-breaking superconducting transition temperature Tc=18.5 K among known f-electron superconductors. Here we systematically investigated the evolution of correlated electronic states in the p
Externí odkaz:
http://arxiv.org/abs/2411.12468
In this study, we introduce a novel implementation of density functional theory integrated with single-site dynamical mean-field theory to investigate the complex properties of strongly correlated materials. This comprehensive first-principles many-b
Externí odkaz:
http://arxiv.org/abs/2410.16791
We present the first complete next-to-next-to-next-to-leading-order calculation of the matching coefficients that link unpolarized flavor non-singlet parton distribution functions with lattice QCD computable correlation functions. By using this high-
Externí odkaz:
http://arxiv.org/abs/2410.05141
Publikováno v:
Chinese Journal of Contemporary Neurology and Neurosurgery, Vol 21, Iss 1, Pp 41-45 (2021)
Intracranial atherosclerotic stenosis (ICAS) is the most common cause of ischemic stroke among Asian population, and its predilection site is middle cerebral artery. Symptomatic middle cerebral atherosclerotic stenosis (sMCAS) has a high risk of stro
Externí odkaz:
https://doaj.org/article/b8d1f7a62e014beaba6ed44af2d6e9bf
Event Causality Identification (ECI) focuses on extracting causal relations between events in texts. Existing methods for ECI primarily rely on causal features and external knowledge. However, these approaches fall short in two dimensions: (1) causal
Externí odkaz:
http://arxiv.org/abs/2409.13621
In the financial risk domain, particularly in credit default prediction and fraud detection, accurate identification of high-risk class instances is paramount, as their occurrence can have significant economic implications. Although machine learning
Externí odkaz:
http://arxiv.org/abs/2409.09792
Autor:
Huang, Hsiang-Wei, Sun, Jiacheng, Yang, Cheng-Yen, Jiang, Zhongyu, Huang, Li-Yu, Hwang, Jenq-Neng, Yeh, Yu-Ching
Assessing gross motor development in toddlers is crucial for understanding their physical development and identifying potential developmental delays or disorders. However, existing datasets for action recognition primarily focus on adults, lacking th
Externí odkaz:
http://arxiv.org/abs/2409.00349
Autor:
Becker, Aaron T., Fekete, Sándor P., Huang, Li, Keldenich, Phillip, Kleist, Linda, Krupke, Dominik, Rieck, Christian, Schmidt, Arne
We investigate algorithmic approaches for targeted drug delivery in a complex, maze-like environment, such as a vascular system. The basic scenario is given by a large swarm of micro-scale particles (''agents'') and a particular target region (''tumo
Externí odkaz:
http://arxiv.org/abs/2408.09729
Autor:
Deng, Hanbin, Yang, Tianyu, Liu, Guowei, Liu, Lu, Zhao, Lingxiao, Wang, Wu, Li, Tiantian, Song, Wei, Neupert, Titus, Liu, Xiang-Rui, Shao, Jifeng, Zhao, Y. Y., Xu, Nan, Deng, Hao, Huang, Li, Zhao, Yue, Zhang, Liyuan, Mei, Jia-Wei, Wu, Liusuo, He, Jiaqing, Liu, Qihang, Liu, Chang, Yin, Jia-Xin
Publikováno v:
Phys. Rev. Lett. 133, 046503 (2024)
The kagome spin ice can host frustrated magnetic excitations by flipping its local spin. Under an inelastic tunneling condition, the tip in a scanning tunneling microscope can flip the local spin, and we apply this technique to kagome metal HoAgGe wi
Externí odkaz:
http://arxiv.org/abs/2408.02892