Results 61 to 70 of about 826,121 (282)
Vectorized Monte Carlo methods for reactor lattice analysis [PDF]
, 1984 Some of the new computational methods and equivalent mathematical representations of physics models used in the MCV code, a vectorized continuous-enery Monte Carlo code for use on the CYBER-205 computer are discussed.
Brown, F. B.
core +1 more source
Monte Carlo Methods for Insurance Risk Computation
, 2018 In this paper we consider the problem of computing tail probabilities of the distribution of a random sum of positive random variables. We assume that the individual variables follow a reproducible natural exponential family (NEF) distribution, and that ...
Bar-Lev, Shaul, Ridder, Ad
core +2 more sources
Advanced Functional Materials, EarlyView.Liquid crystalline inverted lipid phases and reverse micelles are self‐assembled lipid nanostructures that enhance the solubility, stability, and delivery of diverse therapeutics. This review integrates their physicochemical principles, formulation strategies, drug loading mechanisms, and biomedical applications, highlighting their growing ...
Numan Eczacioglu +3 more
wiley +1 more source
Predicting Atomic Charges in MOFs by Topological Charge Equilibration
Advanced Functional Materials, EarlyView.An atomic charge prediction method is presented that is able to accurately reproduce ab‐initio‐derived reference charges for a large number of metal–organic frameworks. Based on a topological charge equilibration scheme, static charges that fulfill overall neutrality are quickly generated.
Babak Farhadi Jahromi +2 more
wiley +1 more source
Definition of Maintenance Policies in Power Systems Using a Sequential Monte Carlo
U.Porto Journal of Engineering, 2015 This paper reports an application of a simulationmethod called chronological Monte Carlo to evaluate power systems reliability. The Monte Carlo methods are, nowadays, the most widely used method for the estimation of reliability indices.
João Silva
doaj +1 more source
Advanced Functional Materials, EarlyView.PREdicting LNP In Vivo Efficacy (PRELIVE) framework enables the prediction of lipid nanoparticle (LNPs) organ‐specific delivery through dual modeling approaches. Composition‐based models using formulation parameters and protein corona‐based models using biological fingerprints both achieve high predictive accuracy across multiple organs.
Belal I. Hanafy +3 more
wiley +1 more source
Comparation of nonuniform and uniform Monte - Carlo Searching
MATEC Web of Conferences, 2018 Nonuniform Monte-Carlo method is often used for optimization and solution of function mapping. This method has some disadvantages. New genetic algorithm, based on uniform Monte-Carlo is proposed by authors reduce disadvantage of nonuniform Monte- Carlo ...
Handrik Marián +3 more
doaj +1 more source
First Principles Methods: A Perspective from Quantum Monte Carlo
Entropy, 2013 Quantum Monte Carlo methods are among the most accurate algorithms for predicting properties of general quantum systems. We briefly introduce ground state, path integral at finite temperature and coupled electron-ion Monte Carlo methods, their merits and
Miguel A. Morales +3 more
doaj +1 more source
Recent developments in Quantum Monte-Carlo simulations with applications for cold gases
, 2012 This is a review of recent developments in Monte Carlo methods in the field of ultra cold gases. For bosonic atoms in an optical lattice we discuss path integral Monte Carlo simulations with worm updates and show the excellent agreement with cold atom ...
Pollet, Lode
core +1 more source
Scalable Thermal Engineering via Femtosecond Laser‐Direct‐Written Phononic Nanostructures
Advanced Functional Materials, EarlyView.This study demonstrates that femtosecond laser‐induced periodic surface structures (fs‐LIPSS) can function as phononic metasurfaces, reducing thermal conductivity below the plain thin‐film limit. Phonon Monte Carlo analysis reveals that the periodic structures restrict phonon mean free paths.
Hiroki Hamma +4 more
wiley +1 more source