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DICE: A Monte Carlo Code for Molecular Simulation Including the Configurational Bias Monte Carlo Method

Journal of Chemical Information and Modeling, 2020
Solute-solvent systems are an important topic of study, as the effects of the solvent on the solute can drastically change its properties. Theoretical studies of these systems are done with ab initio methods, molecular simulations, or a combination of both.
Henrique M. Cezar   +2 more
openaire   +2 more sources

The Serpent Monte Carlo code

Annals of Nuclear Energy, 2014
The Serpent Monte Carlo reactor physics burnup calculation code has been developed at VTT Technical Research Centre of Finland since 2004, and is currently used in over 100 universities and research organizations around the world. This paper presents the brief history of the project, together with the currently available methods and capabilities and ...
Leppänen Jaakko   +4 more
openaire   +1 more source

Monte Carlo code for neutron radiography

Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment, 2005
The concise Monte Carlo code, MSX, for simulation of neutron radiography images of non-uniform objects is presented. The possibility of modeling the images of objects with continuous spatial distribution of specific isotopes is included. The code can be used for assessment of the scattered neutron component in neutron radiograms.
Jacek J. Milczarek   +3 more
openaire   +1 more source

The Monte Carlo code MCPTV—Monte Carlo dose calculation in radiation therapy with carbon ions

Physics in Medicine and Biology, 2010
The Monte Carlo code MCPTV is presented. MCPTV is designed for dose calculation in treatment planning in radiation therapy with particles and especially carbon ions. MCPTV has a voxel-based concept and can perform a fast calculation of the dose distribution on patient CT data.
Juergen, Karg   +3 more
openaire   +2 more sources

Parallelization of a Monte Carlo particle transport simulation code

Computer Physics Communications, 2010
We have developed a high performance version of the Monte Carlo particle transport simulation code MC4. The original application code, developed in Visual Basic for Applications (VBA) for Microsoft Excel, was first rewritten in the C programming language for improving code portability.
Panagiotis E. Hadjidoukas   +2 more
openaire   +1 more source

A semianalytic Monte Carlo code for modelling LIDAR measurements

SPIE Proceedings, 2007
LIDAR (LIght Detection and Ranging) is an optical active remote sensing technology with many applications in atmospheric physics. Modelling of LIDAR measurements appears useful approach for evaluating the effects of various environmental variables and scenarios as well as of different measurement geometries and instrumental characteristics.
Elisa Palazzi   +7 more
openaire   +1 more source

MONT3E: A Monte Carlo electron heat transfer code

Proceedings SUPERCOMPUTING '90, 2002
A Monte Carlo code, MONT3E, was written to analyze heat transfer due to electron backscattering. The availability of supercomputers has made large-scale applications of this analysis technique possible. The physical theory of electron trajectories is described and related to implementation of an electron tracing algorithm.
J. D. Maltby, B. T. Kornblum
openaire   +1 more source

Monte-Carlo analysis of recording codes

IEEE Transactions on Magnetics, 1984
The frequencies of occurence of the different spacings between adjacent 1's in random samples of encoded data are calculated and compared for various binary digital data recording codes.
openaire   +1 more source

RMC – A Monte Carlo code for reactor core analysis

Annals of Nuclear Energy, 2014
A new Monte Carlo transport code RMC has been being developed by Department of Engineering Physics, Tsinghua University, Beijing as a tool for reactor core analysis on high-performance computing platforms. To meet the requirements of reactor analysis, RMC now has such functions as criticality calculation, fixed-source calculation, burnup calculation ...
Kan Wang   +9 more
openaire   +1 more source

Principles of Monte Carlo Calculations and Codes

2010
The Monte Carlo method was invented by John von Neumann, Stanislaw Ulam, and Nicholas Metropolis (who gave it its name) and independently by Enrico Fermi. Originally, it was not a simulation method but a mathematical approach aimed at solving a multidimensional integro-differential equation by means of a stochastic process.
Alberto Fassò   +2 more
openaire   +1 more source

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