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Thermodynamic calculations using reverse Monte Carlo

Physical Review E, 2021
We introduce the theoretical background needed to perform thermodynamic calculations using reverse Monte Carlo (RMC). The theory is developed for binary A_{x}B_{1-x} lattice systems. The main assumption is that the arrangement of A and B atoms can be described using short-ranged order (SRO) parameters.
Gargi Agrahari, Abhijit Chatterjee
openaire   +2 more sources

Monte Carlo techniques for direct lighting calculations

ACM Transactions on Graphics, 1996
In a distributed ray tracer, the sampling strategy is the crucial part of the direct lighting calculation. Monte Carlo integration with importance sampling is used to carry out this calculation. Importance sampling involves the design of integrand-specific probability density functions that are used to generate sample points for the numerical ...
Peter Shirley   +2 more
openaire   +1 more source

Basic considerations for Monte Carlo calculations in soil

Applied Radiation and Isotopes, 2005
Monte Carlo codes are extensively used for probabilistic simulations of various physical systems. These codes are widely used in calculations of neutron and gamma ray transport in soil for radiation shielding, soil activation by neutrons, well logging industry, and in simulations of complex nuclear gauges for in soil measurements.
Lucian, Wielopolski   +4 more
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Monte Carlo Calculations of THz Generation in Nitrides

physica status solidi (a), 2002
The electromagnetic power generation associated with the optical-phonon transit-time resonance of a nitride-based maser is analyzed by Monte Carlo simulations under small- and large-signal regimes. Numerical results show that a dynamic negative differential mobility occurs in a wide frequency range with an optimal generation frequency easily tunable in
Varani, L.   +6 more
openaire   +2 more sources

Quantum :Monte Carlo calculation of the Fe atom

Physical Review A, 1994
Abstract A variety of earlier calculations for the third-row transition element iron using argon-core pseudopotentials had failed to give good agreement with experimental measurements of the ionization potential, the electron affinity, and excitation energies.
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Monte-Carlo calculations of the energy distribution of exoelectrons

Physica Status Solidi (a), 1980
A Monte-Carlo method to calculate the energy distribution of exoelectrons is described. Calculations are made for MgO based on the dipole-layer emission model with the Maxwellian energy distribution, taking the electron-phonon interaction into consideration.
Y. Watanabe   +3 more
openaire   +1 more source

Monte Carlo field calculations

Proceedings of the Institution of Electrical Engineers, 1977
The paper is concerned with a method of calculating potentials and fields that is particularly suited to engineering problems with complicated 3-dimensional geometries. The method solves Laplace's equation numerically using a floating random-walk technique. The efficiency of the basic method can be improved substantially by some simple generalisations,
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Monte Carlo Calculation on trans/cis/-Polysarcosine

Macromolecules, 1976
Monte Carolo calculations were made on unperturbed trans-polysarcosine chain, non-self-intersecting trans-polysarcosine chain, and also non-self-intersecting trans/cis-polysarcosine chain by using a hard-sphere model. In the last case, an attempt was first made to introduce cis amide bond into the Monte Carlo calculation of polypeptide chain. Dipeptide
M, Sisido, Y, Imanishi, T, Higashimura
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Monte-Carlo eigenvalue calculation

2006
A Monte Carlo algorithm to efficiently calculate static alpha eigenvalues, N = neαt, for supercritical systems has been developed and tested. A direct Monte Carlo approach to calculating a static alpha is to simply follow the buildup in time of neutrons in a supercritical system and evaluate the logarithmic derivative of the neutron population with ...
D. Brockway, P. Soran, P. Whalen
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Total Monte Carlo evaluation for dose calculations

Radiation Protection Dosimetry, 2013
Total Monte Carlo (TMC) is a method to propagate nuclear data (ND) uncertainties in transport codes, by using a large set of ND files, which covers the ND uncertainty. The transport code is run multiple times, each time with a unique ND file, and the result is a distribution of the investigated parameter, e.g.
H, Sjöstrand   +8 more
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