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In this paper, we focus on efficiently and flexibly simulating the Fokker-Planck equation associated with the Nonlinear Noisy Leaky Integrate-and-Fire (NNLIF) model, which reflects the dynamic behavior of neuron networks. We apply the…

数值分析 · 数学 2024-12-17 Ling Yan , Pei Zhang , Yanli Wang , Zhennan Zhou

We have developed a Monte Carlo technique for self-consistently calculating the hydrodynamic structure of oblique, steady-state shocks, together with the first-order Fermi acceleration process and associated non-thermal particle…

天体物理学 · 物理学 2009-10-28 Donald C. Ellison , Matthew G. Baring , Frank C. Jones

Recently, a nonlinear stability theory has been developed for wave trains in reaction-diffusion systems relying on pure $L^\infty$-estimates. In the absence of localization of perturbations, it exploits diffusive decay caused by smoothing…

偏微分方程分析 · 数学 2024-10-24 Joannis Alexopoulos , Björn de Rijk

The propagation of stable coherent entities of an electromagnetic field in nonlinear media with parameters varying in space can be described in the framework of iterations of nonlinear integral transformations. It is shown that for a set of…

斑图形成与孤子 · 物理学 2020-12-10 A. Yu. Okulov

A feasible mechanism of unitarization of amplitudes of deep inelastic scattering at small values of Bjorken $x$ is the gluon fusion. However, its efficiency depends crucially on the vacuum color screening effect which accompanies the…

高能物理 - 唯象学 · 物理学 2015-06-04 R. Fiore , P. V. Sasorov , V. R. Zoller

As a counterpoint to classical stochastic particle methods for diffusion, we develop a deterministic particle method for linear and nonlinear diffusion. At first glance, deterministic particle methods are incompatible with diffusive partial…

偏微分方程分析 · 数学 2019-03-05 José Antonio Carrillo , Katy Craig , Francesco S. Patacchini

We present an intensity speckle simulation algorithm based on stochastic differential equations. Intensity speckles are generated with a negative exponential distribution and an exponential auto-correlation decay. The mean of the…

医学物理 · 物理学 2021-07-19 Murali k , Hari M Varma

This work investigates the evolution of the distribution of charged particles due to the mechanism of stochastic turbulent acceleration (STA) in presence of small-scale turbulence with a mean magnetic field. STA is usually modelled as a…

高能天体物理现象 · 物理学 2023-07-19 Sayan Kundu , Nishant Singh , Bhargav Vaidya

We study the asymptotic behaviour of a system of nonlinear reaction--diffusion--advection equations in a domain consisting of two bulk regions connected via microscopic channels distributed within a thin membrane. Both the width of the…

偏微分方程分析 · 数学 2025-12-15 Lucas M. Fix , Gianna Götzmann , Malte A. Peter , Jan-F. Pietschmann

In this paper, we present a model based on a local thermodynamic equilibrium, weakly ionized plasma-mixture model used for medical and technical applications in etching processes. We consider a simplified model based on the Maxwell-Stefan…

数值分析 · 数学 2015-01-26 Juergen Geiser

We propose a methodology to infer collision operators from phase space data of plasma dynamics. Our approach combines a differentiable kinetic simulator, whose core component in this work is a differentiable Fokker-Planck solver, with a…

等离子体物理 · 物理学 2026-01-19 Diogo D. Carvalho , Pablo J. Bilbao , Warren B. Mori , Luis O. Silva , E. Paulo Alves

We analyze the diffusion of a Brownian particle in a fluid under stationary flow. By using the scheme of non-equilibrium thermodynamics in phase space, we obtain the Fokker-Planck equation which is compared with others derived from kinetic…

统计力学 · 物理学 2016-08-16 I. Santamaría-Holek , D. Reguera , J. M. Rubí

We introduce a model of long-range interacting particles evolving under a stochastic Monte Carlo dynamics, in which possible increase or decrease in the values of the dynamical variables is accepted with preassigned probabilities. For…

统计力学 · 物理学 2013-12-03 Shamik Gupta , Thierry Dauxois , Stefano Ruffo

We introduce two improvements in the numerical scheme to simulate collision and slow shearing of irregular particles. First, we propose an alternative approach based on simple relations to compute the frictional contact forces. The approach…

材料科学 · 物理学 2011-03-15 Andres A. Pena , Pedro G. Lind , Hans J. Herrmann

We develop Random Batch Methods for interacting particle systems with large number of particles. These methods use small but random batches for particle interactions, thus the computational cost is reduced from $O(N^2)$ per time step to…

数值分析 · 数学 2019-09-25 Shi Jin , Lei Li , Jian-Guo Liu

A new $z$-stretching finite difference method is established for simulating the paraxial light beam propagation through a lens in a cylindrically symmetric domain. By introducing proper domain transformations, we solve corresponding…

数值分析 · 数学 2010-06-09 Leonel Gonzalez , Shekhar Guha , James W. Rogers , Qin Sheng

Beam tracking software for accelerators typically falls into two categories: fast envelope simulations limited to linear beam optics, and slower multiparticle simulations that can model nonlinear effects. To find a middle ground between…

加速器物理 · 物理学 2017-08-02 Ben Folsom , Emanuele Laface

Recently, we have shown how current cosmological N-body codes already follow the fine grained phase-space information of the dark matter fluid. Using a tetrahedral tesselation of the three-dimensional manifold that describes perfectly cold…

宇宙学与河外天体物理 · 物理学 2015-06-11 Oliver Hahn , Tom Abel , Ralf Kaehler

The dissipative dynamics of an expanding massless gas with constant cross section in a spatially flat Friedmann-Lema\^itre-Robertson-Walker (FLRW) universe is studied. The mathematical problem of solving the full nonlinear relativistic…

高能物理 - 唯象学 · 物理学 2016-12-14 D. Bazow , G. S. Denicol , U. Heinz , M. Martinez , J. Noronha

In this paper, we develop an efficient numerical solver for unsteady diffusion-type partial differential equations with random coefficients. A major computational challenge in such problems lies in repeatedly handling large-scale linear…

数值分析 · 数学 2026-01-19 Yujun Zhu , Min Li , Yulan Ning , Ju Ming