Zobrazeno 1 - 10
of 260
pro vyhledávání: '"CHEN Jian-nan"'
Autor:
Zhang, Jun-Jie, Song, Jiahao, Wang, Xiu-Cheng, Li, Fu-Peng, Liu, Zehan, Chen, Jian-Nan, Dang, Haoning, Wang, Shiyao, Zhang, Yiyan, Xu, Jianhui, Shi, Chunxiang, Wang, Fei, Pang, Long-Gang, Cheng, Nan, Zhang, Weiwei, Zhang, Duo, Meng, Deyu
We uncover a phenomenon largely overlooked by the scientific community utilizing AI: neural networks exhibit high susceptibility to minute perturbations, resulting in significant deviations in their outputs. Through an analysis of five diverse applic
Externí odkaz:
http://arxiv.org/abs/2412.16234
Autor:
Zhang, Jun-Jie, Cheng, Nan, Li, Fu-Peng, Wang, Xiu-Cheng, Chen, Jian-Nan, Pang, Long-Gang, Meng, Deyu
Understanding the mechanisms behind neural network optimization is crucial for improving network design and performance. While various optimization techniques have been developed, a comprehensive understanding of the underlying principles that govern
Externí odkaz:
http://arxiv.org/abs/2409.06402
Autor:
Zhang, Jun-Jie1 (AUTHOR), Chen, Jian-Nan1 (AUTHOR), Meng, De-Yu2,3 (AUTHOR) dymeng@mail.xjtu.edu.cn, Wang, Xiu-Cheng4 (AUTHOR)
Publikováno v:
Scientific Reports. 11/18/2024, Vol. 14 Issue 1, p1-10. 10p.
Despite the successes in many fields, it is found that neural networks are difficult to be both accurate and robust, i.e., high accuracy networks are often vulnerable. Various empirical and analytic studies have substantiated that there is more or le
Externí odkaz:
http://arxiv.org/abs/2205.01493
Autor:
Zhang, Jun-Jie, Sheng, Xin-Li, Pu, Shi, Chen, Jian-Nan, Peng, Guo-Liang, Wang, Jian-Guo, Wang, Qun
Publikováno v:
Phys.Rev.Research 4, 033138 (2022)
We have calculated the directed flow $v_{1}$ and charge-dependent directed flow $\Delta v_{1}$ for pions and protons in Au+Au collisions at $\sqrt{s_{NN}}=200$GeV by solving the coupled Boltzmann-Maxwell equations self-consistently. Our numerical res
Externí odkaz:
http://arxiv.org/abs/2201.06171
Publikováno v:
Computer Physics Communications Volume 276, July 2022, 108328
We have implemented a GPU version of the Jefimenko's equations -- JefiGPU. Given the proper distributions of the source terms $\rho$ (charge density) and $\mathbf{J}$ (current density) in the source volume, the algorithm gives the electromagnetic fie
Externí odkaz:
http://arxiv.org/abs/2104.05426
Publikováno v:
Physics of Fluids 33, 076602 (2021)
We have numerically studied the evolution of the heavy ions that expand in a cold background plasma at a large scale. Two typical collective behaviors of the heavy ions are identified with the conditions where only the traversing heavy ion's initial
Externí odkaz:
http://arxiv.org/abs/2104.03450
Autor:
Chen, Jian-Nan, Zhang, Jun-Jie
Publikováno v:
In Nuclear Engineering and Technology September 2022 54(9):3415-3421
Publikováno v:
In Journal of Environmental Management 15 August 2022 316
Publikováno v:
In Computer Physics Communications July 2022 276