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  1. Monte Carlo Method

    The study of heat transfer on short length and time scales involves understanding the behaviour of microscopic heat carriers in order to quantify the...
    Chapter
  2. Data Assimilation for Microstructure Evolution in Kinetic Monte Carlo

    Modeling grain growthGrain growth has been a subject of interest in computational material science, as it occurs in thermal-based processing methods...
    Conference paper 2023
  3. Monte Carlo Computer Simulation Method for Solving the Problem of Particle Passage Through Matter

    Abstract

    The Monte Carlo method is compared with deterministic methods based on solving the transport equation and the molecular dynamics method. The...

    Article 16 June 2023
  4. KIR2 Software Complex for Simulation of a Stationary and Nonstationary Particle Transport by the Monte Carlo Method

    Abstract

    The KIR2 software complex for simulating neutronic stationary and nonstationary processes in reactors based on the Monte Carlo method [1, 2]...

    V. I. Belousov, M. I. Gurevich, ... R. V. Shirokov in Physics of Atomic Nuclei
    Article 01 December 2023
  5. Monte Carlo in Internal Dosimetry

    In internal dosimetry, the Monte Carlo technique is used for radiation transport to compute values of efficiency of monitoring systems and energy...
    Hemant Kumar Patni, Deepak Kumar Akar in Handbook on Radiation Environment, Volume 2
    Chapter 2024
  6. Modeling and Control of SiNx Film Growth using the Kinetic Monte Carlo Method: Impact of Gas Flow Rate on Surface Roughness and Film Thickness

    A systematic methodology is developed for modeling and controlling the surface roughness in LPCVD SiN x film deposition. The deposition process is...

    Adil Bouhadiche, Zineddine Difellah, ... Sabah Benzeghda in Silicon
    Article 27 March 2023
  7. A method to accelerate computational efficiency by more than two orders of magnitude for Monte Carlo simulations of electron-solid interactions

    A method has been developed to increase computational efficiency in Monte Carlo simulations of electron transport and interactions in matter. The...

    Lin Shao in Scientific Reports
    Article Open access 17 June 2024
  8. Development of a Method for Determining the Heat Capacity of Graphene by the Hybrid Monte Carlo Method

    Abstract

    We search for the ways to improve the lattice implementation of the extended Hubbard model in order to compute quantum mechanical operators...

    S. D. Mostovoy, O. V. Pavlovsky in Physics of Atomic Nuclei
    Article 01 December 2022
  9. Direct Monte Carlo simulation of subsonic evaporation into a half-space

    Modeling of processes with phase transition in confined spaces needs high-accuracy simulations with account for non-equilibrium. In the present...

    A. A. Morozov, E. Ya. Gatapova in Thermophysics and Aeromechanics
    Article 01 May 2023
  10. Exchange-Correlation Excitons in Plasma Media: A Monte Carlo Method and the Sign Problem

    Abstract

    To take into account the interference effects of the Coulomb and exchange interactions of electrons, a new representation of the density...

    V. S. Filinov, P. R. Levashov, A. S. Larkin in High Temperature
    Article 01 December 2022
  11. An Investigation by Monte Carlo Simulation of the Sputtering Process in Plasma

    Abstract

    Thin film technology is still develo** and needs many improvements to comply with industrial demands. Several parameters contribute to the...

    Article 18 October 2023
  12. Kinetically Investigation of Ibuprofen Ozonation Catalyzed by Graphene Oxide/Fe3O4: A Monte Carlo Simulation

    Abstract

    Kinetic Monte Carlo modeling was employed as a powerful tool to kinetically investigate of ibuprofen removal by direct ozonation (O 3 alone)...

    Hamid Dezhampanah, Hamed Moradmand Jalali in Theoretical Foundations of Chemical Engineering
    Article 01 December 2023
  13. Kinetically Investigation of Ibuprofen Ozonation Catalyzed by Graphene Oxide/Fe3O4: A Monte Carlo Simulation

    Abstract

    Kinetic Monte Carlo modeling was employed as a powerful tool to kinetically investigate of ibuprofen removal by direct ozonation (O 3 alone)...

    Hamid Dezhampanah, Hamed Moradmand Jalali in Theoretical Foundations of Chemical Engineering
    Article 01 October 2023
  14. Probability Density Assessment of Voltage Sag Based on Hamiltonian Monte Carlo Method

    In this paper, a method for evaluating the probability density of voltage sags based on Hamiltonian Monte Carlo (HMC) is proposed, which realizes a...
    Conference paper 2024
  15. Modeling of Butadiene Polymerization with a Multicenter Titanium Catalyst Using the Monte Carlo Inversion Algorithm

    Abstract

    For butadiene polymerization with the multicenter catalyst TiCl 4 –Al( i -C 4 H 9 ) 3 the inverse kinetic task with identification of the kinetic...

    V. M. Yanborisov, D. V. Styazhkin, ... V. P. Zakharov in Polymer Science, Series B
    Article 01 April 2023
  16. How well can damped shifted force Monte Carlo predict vapor–liquid equilibria for natural gas systems?

    The petroleum industry has encountered significant challenges, particularly following the identification and exploration of pre-salt reserves in...

    Alexandre S. Zimmermann, Raphael Lírio, ... Silvana Mattedi in Brazilian Journal of Chemical Engineering
    Article 07 June 2024
  17. Exploring bimodal HDPE synthesis using single- and dual-site metallocene catalysts: a comprehensive review of the Monte Carlo method and AI-based approaches

    The alteration of the molecular weight distribution (MWD) in high-density polyethylenes (HDPEs) can effectively address processing challenges....

    Ramin Bairami Habashi, Mohammad Najafi, Reza Zarghami in Journal of Polymer Research
    Article 24 February 2024
  18. Development of Neutronic Model of Hybrid DEMO-FNS Reactor by Means of NESTOR Code and Monte Carlo Method

    Abstract

    The paper is devoted to the creation of an improved neutron plasma model of the hybrid reactor facility (HRF) DEMO-FNS, which has been used...

    M. N. Shlenskii, E. D. Dlougach, B. V. Kuteev in Physics of Atomic Nuclei
    Article 01 December 2023
  19. Randomized time Riemannian Manifold Hamiltonian Monte Carlo

    Hamiltonian Monte Carlo (HMC) algorithms, which combine numerical approximation of Hamiltonian dynamics on finite intervals with stochastic...

    Peter A. Whalley, Daniel Paulin, Benedict Leimkuhler in Statistics and Computing
    Article Open access 24 November 2023
  20. Monte Carlo stochastic Galerkin methods for non-Maxwellian kinetic models of multiagent systems with uncertainties

    In this paper, we focus on the construction of a hybrid scheme for the approximation of non-Maxwellian kinetic models with uncertainties. In the...

    Andrea Medaglia, Andrea Tosin, Mattia Zanella in Partial Differential Equations and Applications
    Article Open access 11 July 2022
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