Zobrazeno 1 - 10
of 2 829
pro vyhledávání: '"JI Hao"'
Self-organizing systems consist of autonomous agents that can perform complex tasks and adapt to dynamic environments without a central controller. Prior research often relies on reinforcement learning to enable agents to gain the skills needed for t
Externí odkaz:
http://arxiv.org/abs/2411.12246
Charmed meson masses and decay constants in the continuum from the tadpole improved clover ensembles
Autor:
Du, Hai-Yang, Hu, Bolun, Chen, Ying, Ding, Heng-Tong, Liu, Chuan, Liu, Liuming, Meng, Yu, Sun, Peng, Wang, Ji-Hao, Yang, Yi-Bo, Zhao, Dian-Jun
We present the determination of the charm quark mass, the masses and decay constants of charmed mesons using thirteen 2+1 flavor full-QCD gauge ensembles at five different lattice spacings $a\in[0.05,0.11]$ fm, 8 pion masses $m_{\pi}\in(130,360)$ MeV
Externí odkaz:
http://arxiv.org/abs/2408.03548
As a generalization of the well-known Bell state measurement (BSM), the elegant joint measurement (EJM) is a kind of novel two-qubit joint measurement, parameterized by a subtle phase factor $\theta \in [0,\pi/2]$. We explore quantum teleportation ba
Externí odkaz:
http://arxiv.org/abs/2402.02462
Autor:
Hu, Zhi-Cheng, Hu, Bo-Lun, Wang, Ji-Hao, Gong, Ming, Liu, Liuming, Sun, Peng, Sun, Wei, Wang, Wei, Yang, Yi-Bo, Zhao, Dian-Jun
We present the light-flavor quark masses and low energy constants using the 2+1 flavor full-QCD ensembles with stout smeared clover fermion action and Symanzik gauge actions. Both the fermion and gauge actions are tadpole improved self-consistently.
Externí odkaz:
http://arxiv.org/abs/2310.00814
Autor:
Lattice Parton Collaboration, Chu, Min-Huan, He, Jin-Chen, Hua, Jun, Liang, Jian, Ji, Xiangdong, Schäfer, Andreas, Shu, Hai-Tao, Su, Yushan, Walter, Lisa, Wang, Wei, Wang, Ji-Hao, Yang, Yi-Bo, Zeng, Jun, Zhang, Qi-An
Publikováno v:
JHEP08(2023)172
We calculate the soft function using lattice QCD in the framework of large momentum effective theory incorporating the one-loop perturbative contributions. The soft function is a crucial ingredient in the lattice determination of light cone objects u
Externí odkaz:
http://arxiv.org/abs/2306.06488
Autor:
Yu Zhang, Shu-Hao Yang, Yue Xin, Bo Cai, Peng-Fei Hu, Hai-Yang Dai, Chen-Ming Liang, Yun-Tong Meng, Ji-Hao Su, Xiao-Juan Zhang, Min Lu, Guang-Sheng Wang
Publikováno v:
Nano-Micro Letters, Vol 16, Iss 1, Pp 1-18 (2024)
Highlights MIL-88C (Fe) with varying aspect ratios as a precursor was synthesized by regulating oil bath conditions, followed by one-step thermal decomposition to obtain carbon-coated iron-based composites. High-efficiency microwave absorption proper
Externí odkaz:
https://doaj.org/article/18f4b7b093094b2992c7e1abb49615ee
Autor:
Chen, Ji-Hao1 (AUTHOR) wsx852dd@gmail.com, Luo, Yu-Ting2 (AUTHOR) ytluo693@gmail.com, Su, Yi-An2 (AUTHOR) lynn79827@gmail.com, Ke, Yan-Ren1 (AUTHOR) allenke0511@gmail.com, Deng, Ming-Jay3 (AUTHOR) dengmj1020@pu.edu.tw, Chen, Wei-Yu4 (AUTHOR) wychen@mail.npust.edu.tw, Wang, Cheng-Yu1 (AUTHOR) s930170280227@yahoo.com, Tsai, Jia-Lin1 (AUTHOR) jialintsai2002@gmail.com, Lin, Cheng-Hsing2 (AUTHOR) maxlin.lf@gmail.com, Shih, Tsung-Ting1 (AUTHOR) ttshih0528.fju@gmail.com
Publikováno v:
Polymers (20734360). Aug2024, Vol. 16 Issue 16, p2366. 14p.
Autor:
Chu, Min-Huan, He, Jin-Chen, Hua, Jun, Liang, Jian, Ji, Xiangdong, Schafer, Andreas, Shu, Hai-Tao, Su, Yushan, Wang, Ji-Hao, Wang, Wei, Yang, Yi-Bo, Zeng, Jun, Zhang, Jian-Hui, Zhang, Qi-An
We present a first lattice QCD calculation of the transverse-momentum-dependent wave functions (TMDWFs) of the pion using large-momentum effective theory. Numerical simulations are based on one ensemble with 2+1+1 flavors of highly improved staggered
Externí odkaz:
http://arxiv.org/abs/2302.09961
Autor:
Nan Tang, Shuang Liu, Kangming Li, Qiang Zhou, Yanan Dai, Huamei Sun, Qingdui Zhang, Ji Hao, Chunmei Qi
Publikováno v:
Frontiers in Cardiovascular Medicine, Vol 11 (2024)
IntroductionAccurate in-hospital mortality prediction following percutaneous coronary intervention (PCI) is crucial for clinical decision-making. Machine Learning (ML) and Data Mining methods have shown promise in improving medical prognosis accuracy
Externí odkaz:
https://doaj.org/article/63309cec6eac4d05baade0341a2790d3