Zobrazeno 1 - 10
of 1 566
pro vyhledávání: '"Shu, Shi"'
Recently, deep learning-based hybrid iterative methods (DL-HIM) have emerged as a promising approach for designing fast neural solvers to tackle large-scale sparse linear systems. DL-HIM combine the smoothing effect of simple iterative methods with t
Externí odkaz:
http://arxiv.org/abs/2408.08540
Solving high-wavenumber and heterogeneous Helmholtz equations presents a long-standing challenge in scientific computing. In this paper, we introduce a deep learning-enhanced multigrid solver to address this issue. By conducting error analysis on sta
Externí odkaz:
http://arxiv.org/abs/2404.02493
The Poisson-Nernst-Planck (PNP) equations are one of the most effective model for describing electrostatic interactions and diffusion processes in ion solution systems, and have been widely used in the numerical simulations of biological ion channels
Externí odkaz:
http://arxiv.org/abs/2312.10326
In this paper, we propose a novel two-relaxation-time regularized lattice Boltzmann (TRT-RLB) model for simulating weakly compressible isothermal flows. A free relaxation parameter, $\tau_{s,2}$, is employed to relax the regularized non-equilibrium t
Externí odkaz:
http://arxiv.org/abs/2312.10318
In this paper, a new two-relaxation-time regularized (TRT-R) lattice Boltzmann (LB) model for convection-diffusion equation (CDE) with variable coefficients is proposed. Within this framework, we first derive a TRT-R collision operator by constructin
Externí odkaz:
http://arxiv.org/abs/2312.10316
We establish the existence theory of several commonly used finite element (FE) nonlinear fully discrete solutions, and the convergence theory of a linearized iteration. First, it is shown for standard FE, SUPG and edge-averaged method respectively th
Externí odkaz:
http://arxiv.org/abs/2312.00291
Autor:
Shu, Shi
As digital gaming becomes more popular among older adults, many researchers have studied elements that affect older adults’ adoption of digital games, including motivation ((Ijsselsteijn et al., 2007), potential health benefits(Hall et al., 2012),
Externí odkaz:
https://hdl.handle.net/1721.1/150144
The Poisson-Boltzmann equation is a nonlinear elliptic equation with Dirac distribution sources, which has been widely applied to the prediction of electrostatics potential of biological biomolecular systems in solution. In this paper, we discuss and
Externí odkaz:
http://arxiv.org/abs/2307.07799
Autor:
Han Zheng, Mingchen Liu, Shu Shi, Hongxin Huang, Xingwen Yang, Ziheng Luo, Yarong Song, Qiang Xu, Tingting Li, Lixiang Xue, Fengmin Lu, Jie Wang
Publikováno v:
Molecular Oncology, Vol 18, Iss 5, Pp 1327-1346 (2024)
SRY‐box transcription factor 6 (SOX6) is a member of the SOX gene family and inhibits the proliferation of cervical cancer cells by inducing cell cycle arrest. However, the final cell fate and significance of these cell‐cycle‐arrested cervical
Externí odkaz:
https://doaj.org/article/845d93ff20c340d3b11a8306fcfeed03
Solving variational image segmentation problems with hidden physics is often expensive and requires different algorithms and manually tunes model parameter. The deep learning methods based on the U-Net structure have obtained outstanding performances
Externí odkaz:
http://arxiv.org/abs/2210.15164