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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... -
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... -
Monte Carlo Computer Simulation Method for Solving the Problem of Particle Passage Through Matter
AbstractThe Monte Carlo method is compared with deterministic methods based on solving the transport equation and the molecular dynamics method. The...
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KIR2 Software Complex for Simulation of a Stationary and Nonstationary Particle Transport by the Monte Carlo Method
AbstractThe KIR2 software complex for simulating neutronic stationary and nonstationary processes in reactors based on the Monte Carlo method [1, 2]...
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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... -
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...
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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...
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Development of a Method for Determining the Heat Capacity of Graphene by the Hybrid Monte Carlo Method
AbstractWe search for the ways to improve the lattice implementation of the extended Hubbard model in order to compute quantum mechanical operators...
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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...
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Exchange-Correlation Excitons in Plasma Media: A Monte Carlo Method and the Sign Problem
AbstractTo take into account the interference effects of the Coulomb and exchange interactions of electrons, a new representation of the density...
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An Investigation by Monte Carlo Simulation of the Sputtering Process in Plasma
AbstractThin film technology is still develo** and needs many improvements to comply with industrial demands. Several parameters contribute to the...
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Kinetically Investigation of Ibuprofen Ozonation Catalyzed by Graphene Oxide/Fe3O4: A Monte Carlo Simulation
AbstractKinetic Monte Carlo modeling was employed as a powerful tool to kinetically investigate of ibuprofen removal by direct ozonation (O 3 alone)...
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Kinetically Investigation of Ibuprofen Ozonation Catalyzed by Graphene Oxide/Fe3O4: A Monte Carlo Simulation
AbstractKinetic Monte Carlo modeling was employed as a powerful tool to kinetically investigate of ibuprofen removal by direct ozonation (O 3 alone)...
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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... -
Modeling of Butadiene Polymerization with a Multicenter Titanium Catalyst Using the Monte Carlo Inversion Algorithm
AbstractFor butadiene polymerization with the multicenter catalyst TiCl 4 –Al( i -C 4 H 9 ) 3 the inverse kinetic task with identification of the kinetic...
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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...
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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....
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Development of Neutronic Model of Hybrid DEMO-FNS Reactor by Means of NESTOR Code and Monte Carlo Method
AbstractThe paper is devoted to the creation of an improved neutron plasma model of the hybrid reactor facility (HRF) DEMO-FNS, which has been used...
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Randomized time Riemannian Manifold Hamiltonian Monte Carlo
Hamiltonian Monte Carlo (HMC) algorithms, which combine numerical approximation of Hamiltonian dynamics on finite intervals with stochastic...
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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...