Zobrazeno 1 - 10
of 6 109
pro vyhledávání: '"Gui-Rong"'
Ultralight vector particles can form evolving condensates around a Kerr black hole (BH) due to superradiant instability. We study the effect of near-horizon reflection on the evolution of this system: by matching three pieces of asymptotic expansions
Externí odkaz:
http://arxiv.org/abs/2309.05108
Akademický článek
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Our recent intensive study has found that physics-informed neural networks (PINN) tend to be local approximators after training. This observation leads to this novel physics-informed radial basis network (PIRBN), which can maintain the local property
Externí odkaz:
http://arxiv.org/abs/2304.06234
Autor:
Dai, Jin, Liang, Gui-Rong
We study graviton-photon conversion in potential ground-based experiments. From graviton to photon transition, we calculate the cross section of graviton-atom interaction in the presence of spherical atomic electric fields; the obtained results hold
Externí odkaz:
http://arxiv.org/abs/2302.07044
Effects of edge disorder on the stability of quantum oscillations in two-dimensional coupled systems
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-10 (2024)
Abstract This paper utilizes the theory of quantum diffusion to analyze the electron probability and spreading width of a wavepacket on each layer in a two-dimensional (2D) coupled system with edge disorder, aiming to clarify the effects of edge diso
Externí odkaz:
https://doaj.org/article/72c4512003864b7fbb6e8fbc47e1518a
Publikováno v:
Chinese Medicine, Vol 19, Iss 1, Pp 1-15 (2024)
Abstract Background Myocarditis refers to an autoimmune inflammatory response of the myocardium with characterization of self-reactive CD4+ T cell activation, which lacks effective treatment and has a poor prognosis. Acacetin is a natural flavonoid p
Externí odkaz:
https://doaj.org/article/d06c0a647fb947a6a3a39712f9f2d7bb
Autor:
Bai, Jinshuai, Jeong, Hyogu, Batuwatta-Gamage, C. P., Xiao, Shusheng, Wang, Qingxia, Rathnayaka, C. M., Alzubaidi, Laith, Liu, Gui-Rong, Gu, Yuantong
Physics-informed neural network (PINN) has recently gained increasing interest in computational mechanics. In this work, we present a detailed introduction to programming PINN-based computational solid mechanics. Besides, two prevailingly used physic
Externí odkaz:
http://arxiv.org/abs/2210.09060