Zobrazeno 1 - 10
of 23 650
pro vyhledávání: '"An, Jiaxing"'
Classification in the sense of similarity is an important issue. In this paper, we study similarity classification in Topological Data Analysis. We define a pseudometric $d_{S}^{(p)}$ to measure the distance between barcodes generated by persistent h
Externí odkaz:
http://arxiv.org/abs/2411.09960
Autor:
Jiang, Kai, Huang, Jiaxing
Autoregressive models have demonstrated great performance in natural language processing (NLP) with impressive scalability, adaptability and generalizability. Inspired by their notable success in NLP field, autoregressive models have been intensively
Externí odkaz:
http://arxiv.org/abs/2411.08666
Heavy quark mass in QGP is related to the heavy quark potential at a large distance. In this study we test three different heavy quark potentials, namely, the free energy, the internal energy of the heavy quark pair in QGP, and the unscreened potenti
Externí odkaz:
http://arxiv.org/abs/2411.07383
Autor:
Kireyeu, Viktar, Voronyuk, Vadim, Winn, Michael, Gläßel, Susanne, Aichelin, Jörg, Blume, Christoph, Bratkovskaya, Elena, Coci, Gabriele, Zhao, Jiaxing
We investigate the influence of the equation-of-state (EoS) of nuclear matter on collective observables, the directed ($v_1$) and the elliptic flow ($v_2$) of nucleons and light clusters in heavy-ion collisions at GeV beam energies employing the Part
Externí odkaz:
http://arxiv.org/abs/2411.04969
Autor:
Coci, Gabriele, Zhao, Jiaxing, Glässel, Susanne, Kireyeu, Viktar, Voronyuk, Vadim, Winn, Michael, Aichelin, Jörg, Blume, Christoph, Bratkovskaya, Elena
We investigate light cluster and anti-cluster production in heavy-ion collisions from SIS to RHIC energies within the Parton-Hadron-Quantum-Molecular Dynamics (PHQMD) microscopic transport approach which propagates (anti-)baryons using n-body QMD dyn
Externí odkaz:
http://arxiv.org/abs/2411.04296
Autor:
Yang, Jiaxing, Wang, Kai, Zhang, Liyu, Zhang, Chen, Fan, Aoyu, He, Zijian, Li, Zhidi, Han, Xiaobo, Ling, Furi, Lu, Peixiang
The strong coupling between photons and phonons in polar materials gives rise to phonon-polaritons that encapsulate a wealth of physical information, offering crucial tools for the ultrafast terahertz sources and the topological engineering of terahe
Externí odkaz:
http://arxiv.org/abs/2411.01914
Nonlinear relations between variables, such as the curvilinear relationship between childhood trauma and resilience in patients with schizophrenia and the moderation relationship between mentalizing, and internalizing and externalizing symptoms and q
Externí odkaz:
http://arxiv.org/abs/2411.02763
Autor:
Zhang, Feng, Deng, Li, Ge, Yanjie, Wen, Jiaxing, Cui, Bo, Feng, Ke, Wang, Hao, Wu, Chen, Pan, Ziwen, Liu, Hongjie, Deng, Zhigang, Zhang, Zongxin, Chen, Liangwen, Yan, Duo, Shan, Lianqiang, Yuan, Zongqiang, Tian, Chao, Qian, Jiayi, Zhu, Jiacheng, Xu, Yi, Yu, Yuhong, Zhang, Xueheng, Yang, Lei, Zhou, Weimin, Gu, Yuqiu, Wang, Wentao, Leng, Yuxin, Sun, Zhiyu, Li, Ruxin
Muons, which play a crucial role in both fundamental and applied physics, have traditionally been generated through proton accelerators or from cosmic rays. With the advent of ultra-short high-intensity lasers capable of accelerating electrons to GeV
Externí odkaz:
http://arxiv.org/abs/2410.23829
Autor:
Yang, Ziyue, Li, Chen, Ran, Yuqia, Li, Yongzhuo, Feng, Xue, Cui, Kaiyu, Liu, Fang, Sun, Hao, Zhang, Wei, Ye, Yu, Qiao, Fei, Ning, Cun-Zheng, Wang, Jiaxing, Chang-Hasnain, Connie J., Huang, Yidong
Photonic linear operation is a promising approach to handle the extensive vector multiplications in artificial intelligence techniques due to the natural bosonic parallelism and high-speed information transmission of photonics. Although it is believe
Externí odkaz:
http://arxiv.org/abs/2410.23659
Autor:
Hou, Zhenyi, Zhao, Xu, Ye, Kejie, Sheng, Xinyu, Jiang, Shanggerile, Xia, Jiajing, Zhang, Yitao, Ban, Chenxi, Luo, Daijun, Chen, Jiaxing, Zou, Yan, Feng, Yuchao, Fan, Guangyu, Yuan, Xin
Vocal education in the music field is difficult to quantify due to the individual differences in singers' voices and the different quantitative criteria of singing techniques. Deep learning has great potential to be applied in music education due to
Externí odkaz:
http://arxiv.org/abs/2410.23325