Zobrazeno 1 - 10
of 17 491
pro vyhledávání: '"ZHU, JIAN"'
Autor:
Tsuyama, Tomoyuki, Kaneshita, Takeshi, Matsui, Akira, Ochiai, Kohei, Tanaka, Hiroaki, Kondo, Ryohei, Fukushima, Takayuki, Ohashi, Haruhisa, Hashimoto, Atsushi, Okuno, Yoshishige, Zhu, Jian-Gang
We report the mechanisms of atomic ordering in Fe$_{1-x}$Pt$_{x}$ alloys using density functional theory (DFT) and machine-learning interatomic potential Monte Carlo (MLIP-MC) simulations. We clarified that the formation enthalpy of the ordered phase
Externí odkaz:
http://arxiv.org/abs/2412.18198
Since the discovery of heavy-fermion superconductivity in CeCu$_{2}$Si$_{2}$, the material has attracted great interest particularly with regard to the nature of the superconducting pairing and its mechanism. Consequently, it is essential to better u
Externí odkaz:
http://arxiv.org/abs/2412.18183
Multi-view clustering can partition data samples into their categories by learning a consensus representation in an unsupervised way and has received more and more attention in recent years. However, there is an untrusted fusion problem. The reasons
Externí odkaz:
http://arxiv.org/abs/2412.16487
Autor:
Wang, Yanyong, Engel, Manuel, Lane, Christopher, Miranda, Henrique, Hou, Lin, Barbiellini, Bernardo, Markiewicz, Robert S., Zhu, Jian-Xin, Kresse, Georg, Bansil, Arun, Sun, Jianwei, Zhang, Ruiqi
Electron-phonon coupling (EPC) is key for understanding many properties of materials such as superconductivity and electric resistivity. Although first principles density-functional-theory (DFT) based EPC calculations are used widely, their efficacy
Externí odkaz:
http://arxiv.org/abs/2411.08192
Autor:
Zhu, Jian, Sheng, Mingkai, Huang, Zhangmin, Chang, Jingfei, Jiang, Jinling, Long, Jian, Luo, Cheng, Liu, Lei
Multi-modal hashing methods are widely used in multimedia retrieval, which can fuse multi-source data to generate binary hash code. However, the individual backbone networks have limited feature expression capabilities and are not jointly pre-trained
Externí odkaz:
http://arxiv.org/abs/2410.07783
Autor:
Ren, Zheng, Huang, Jianwei, Tan, Hengxin, Biswas, Ananya, Pulkkinen, Aki, Zhang, Yichen, Xie, Yaofeng, Yue, Ziqin, Chen, Lei, Xie, Fang, Allen, Kevin, Wu, Han, Ren, Qirui, Rajapitamahuni, Anil, Kundu, Asish, Vescovo, Elio, Kono, Junichiro, Morosan, Emilia, Dai, Pengcheng, Zhu, Jian-Xin, Si, Qimiao, Minár, Ján, Yan, Binghai, Yi, Ming
Publikováno v:
Nature Communications 15, 9376 (2024)
Magnetic kagome materials provide a fascinating playground for exploring the interplay of magnetism, correlation and topology. Many magnetic kagome systems have been reported including the binary FemXn (X=Sn, Ge; m:n = 3:1, 3:2, 1:1) family and the r
Externí odkaz:
http://arxiv.org/abs/2410.06147
Curating datasets that span multiple languages is challenging. To make the collection more scalable, researchers often incorporate one or more imperfect classifiers in the process, like language identification models. These models, however, are prone
Externí odkaz:
http://arxiv.org/abs/2410.04292
We investigate the anisotropic effect of magnetization plateaus in the antiferromagnetic Heisenberg model on a kagome strip chain. The kagome strip chain Heisenberg model, composed of a hexagonal net of triangles forming five-site unit cells, exhibit
Externí odkaz:
http://arxiv.org/abs/2409.19512
Autor:
Shou, Qi-Ye, Ma, Yu-Gang, Zhang, Song, Zhu, Jian-Hui, Mao, Ya-Xian, Pei, Hua, Yin, Zhong-Bao, Zhang, Xiao-Ming, Zhou, Dai-Cui, Peng, Xin-Ye, Bai, Xiao-Zhi, Tang, Ze-Bo, Zhang, Yi-Fei, Li, Xiao-Mei
Publikováno v:
NUCL SCI TECH 35, 219 (2024)
The Large Hadron Collider (LHC), the world's largest and most powerful particle accelerator, has been a pivotal tool in advancing our understanding of fundamental physics. By colliding heavy ions (such as lead ions), the LHC recreates conditions simi
Externí odkaz:
http://arxiv.org/abs/2409.17964
Current speech-based LLMs are predominantly trained on extensive ASR and TTS datasets, excelling in tasks related to these domains. However, their ability to handle direct speech-to-speech conversations remains notably constrained. These models often
Externí odkaz:
http://arxiv.org/abs/2409.17353