The effect of adipose tissue on transdermal monochromatic light presented to the human fetus using Monte Carlo simulations. [PDF]
Isaac Z, Heerikhuisen J, Reid V.
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Accuracy of a whole-body single-photon emission computed tomography with a thallium-bromide detector: Verification via Monte Carlo simulations. [PDF]
Ito T +9 more
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Graph convolutional network for predicting abnormal grain growth in Monte Carlo simulations of microstructural evolution. [PDF]
Cohn R, Holm EA.
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Characterization of the Optical Properties of Photoluminescent Turbid Media Using an Integrating Sphere and Monte Carlo Simulations. [PDF]
Jelken J +4 more
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Enhancing dosimetric precision in the treatment of cancerous tumors: Gamma Index validation and Monte Carlo simulations of 6 and 12 megavoltage photon beams from Varian Medical linear accelerators. [PDF]
Alshehri AHD.
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Enthalpies and entropies of hydration from Monte Carlo simulations.
Jorgensen WL.
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Faster Monte Carlo simulations
Physical Review E, 1995For Monte Carlo simulations of systems of size [ital M], either kinetic simulations or equilibrium simulations that use the method of Bortz, Kalos, and Liebowitz [J. Comput. Phys. [bold 17], 10 (1975)], the best computer time per event has been [ital O]([ital M][sup 1/2]). We present two methods whose computer time per event is [ital O]([ital M][sup 1/[
, Blue, , Beichl, , Sullivan
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A description of Monte Carlo methods for simulation of proteins is given. Advantages and disadvantages of the Monte Carlo approach are presented. The theoretical basis for calculating equilibrium properties of biological molecules by the Monte Carlo method is presented.
David J, Earl, Michael W, Deem
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The sequential use of random numbers, to sample the values of probability variables, allows obtaining solutions to mathematical problems such as the Monte Carlo method, that allows to model stochastic parameters or deterministic based on random sampling.
Lorenzo Cevallos-Torres +1 more
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