Molecular Dynamic and Monte-Carlo simulations are widely used to investigate the structure and physical properties of solids and liquids at a molecular level. Tools to extract the most relevant information from the obtained results are, however, in considerable demand. One such tool, the program ...
In general, it is found that treating the test statistics as having F distributions with appropriate degrees of freedom under the null hypothesis of interest leads to rejection proportions close to the desired levels. Additional Monte Carlo results indicate favorable power of the proposed tests....
The most popular methods for the load modeling of PEVs include deterministic, scenario reduction, Monte Carlo simulation (MCS), fuzzy, hybrid fuzzy-MCS, deep ANN, Markov chain theory, stochastic modeling using probability density functions (PDFs), and Copula methods, as described briefly in the ...
To accurately capture oscillations in aggregate power, such bin-based models require a large number of bins. The process of obtaining the Markov state transition matrix that governs the dynamics can be computationally intensive when using Monte Carlo based system identification techniques. Existing ...
Dispersive relaxation dynamics of photoexcitations in a polyfluorene film involving energy transfer: experiment and Monte Carlo simulations. J. Phys. Chem. B 105, 9139–9149 (2001). Article CAS Google Scholar Download references Acknowledgements This work is supported by the National Science ...
Then, a set of probabilistic analyses is performed considering the existing uncertainties in construction conditions of such a composite system. The analysis results obtained using Monte Carlo method indicate the uncertainty governing ballast granulation and conditions of mortar injection and setting could ...
Paper presented at a conference held in Copenhagen, 1998, organized by the Development Economics Research Group, University of Copenhagen. Huber, P.J.: Robust regression: asymptotics, conjecture, and Monte Carlo. Ann. Stat. 1, 799–821 (1973) Article Google Scholar Islam, A.: Foreign aid ...
We present a method for computing interaction potentials of solvated proteins directly from SAXS data, by computing the Guinier plot from Monte Carlo or Molecular Dynamics simulation of model proteins in implicit solvent. This obviates the need for certain approximations, including the low concentration...
Importantly, we find that all three solutions are nearly as effective in removing the bias. We demonstrate our two contributions in the simple and random coefficients versions of the logit model via Monte Carlo experiments and with data from the automobile and breakfast cereals markets. Keywords: ...
performed with the stochastically weighted operator splitting Monte Carlo method and moving sectional method, the Bivariate TEMOM model scheme coupled with large eddy simulation (LES) method and soot formation model is used to simulate fractal-like soot aggregate dynamics in turbulent ethylene-oxygen ...