Results 241 to 250 of about 1,205,834 (315)
Framework for Accurate Single-Molecule Spectroscopic Imaging Analyses Using Monte Carlo Simulation and Deep Learning. [PDF]
Mao H +7 more
europepmc +1 more source
Correction to "Dosimetric characteristics of LinaTech DMLC H multi leaf collimator: Monte Carlo simulation and experimental study". [PDF]
europepmc +1 more source
Some of the next articles are maybe not open access.
Related searches:
Related searches:
Springer Series in Reliability Engineering, 2020
In this chapter, we describe the Monte Carlo (MC) simulation used in this analysis. The purposes of the MC simulation are to estimate the signal acceptance for the \(K_L \!\rightarrow \! \pi ^0 \nu \overline{\nu }\) and \(K_L \!\rightarrow \! \pi ^0 X^0\) decays the acceptance for the normalization mode decays, namely \(K_L \!\rightarrow \! 3\
Cao Wang
semanticscholar +3 more sources
In this chapter, we describe the Monte Carlo (MC) simulation used in this analysis. The purposes of the MC simulation are to estimate the signal acceptance for the \(K_L \!\rightarrow \! \pi ^0 \nu \overline{\nu }\) and \(K_L \!\rightarrow \! \pi ^0 X^0\) decays the acceptance for the normalization mode decays, namely \(K_L \!\rightarrow \! 3\
Cao Wang
semanticscholar +3 more sources
Reverse Monte Carlo Simulation: A New Technique for the Determination of Disordered Structures
Molecular Simulation, 1988R. Mcgreevy, L. Pusztai
semanticscholar +3 more sources
Statistical power in two-level models: A tutorial based on Monte Carlo simulation.
Psychological methods, 2019The estimation of power in two-level models used to analyze data that are hierarchically structured is particularly complex because the outcome contains variance at two levels that is regressed on predictors at two levels.
Matthias G. Arend, Thomas Schäfer
semanticscholar +1 more source
Journal of Geotechnical and Geoenvironmental Engineering - ASCE, 2015
Shui-Hua Jiang +4 more
semanticscholar +3 more sources
Shui-Hua Jiang +4 more
semanticscholar +3 more sources
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
openaire +2 more sources
Journal of Molecular Liquids, 2018
The inhibition properties of three synthesized 3-(-arylazo)-l, 2, 4-triazole (AATR) derivatives were investigated for copper corrosion in aerated 0.5 M HNO3 acid using potentiodynamic polarization, cyclic voltammetry, and spectrophotometric measurements.
Loutfy H. Madkour, S. Kaya, I. Obot
semanticscholar +1 more source
The inhibition properties of three synthesized 3-(-arylazo)-l, 2, 4-triazole (AATR) derivatives were investigated for copper corrosion in aerated 0.5 M HNO3 acid using potentiodynamic polarization, cyclic voltammetry, and spectrophotometric measurements.
Loutfy H. Madkour, S. Kaya, I. Obot
semanticscholar +1 more source
2008
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
openaire +2 more sources
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
openaire +2 more sources

