Results 41 to 50 of about 1,407,468 (324)

Estimation of Continuous Distribution of Iterated Fission Probability Using an Artificial Neural Network with Monte Carlo-Based Training Data

open access: yesJournal of Nuclear Engineering, 2023
The Monte Carlo neutron transport method is used to accurately estimate various quantities, such as k-eigenvalue and integral neutron flux. However, in the case of estimating a distribution of a desired quantity, the Monte Carlo method does not typically
Delgersaikhan Tuya, Yasunobu Nagaya
doaj   +1 more source

Divergence of the multilevel Monte Carlo Euler method for nonlinear stochastic differential equations

open access: yes, 2013
The Euler-Maruyama scheme is known to diverge strongly and numerically weakly when applied to nonlinear stochastic differential equations (SDEs) with superlinearly growing and globally one-sided Lipschitz continuous drift coefficients.
Hutzenthaler, Martin   +2 more
core   +1 more source

Odd-flavor Simulations by the Hybrid Monte Carlo [PDF]

open access: yes, 2000
The standard hybrid Monte Carlo algorithm is known to simulate even flavors QCD only. Simulations of odd flavors QCD, however, can be also performed in the framework of the hybrid Monte Carlo algorithm where the inverse of the fermion matrix is ...
de Forcrand, Philippe, Takaishi, Tetsuya
core   +2 more sources

Examining the Value of Monte Carlo Simulation for Project Time Management

open access: yesManagement, 2019
Research Question: This paper investigates whether the Monte Carlo simulation can be widely used as a practicable method for the analysis of the risks that impact project duration.
Goran Avlijas
doaj   +1 more source

Stitching Monte Carlo samples

open access: yesEuropean Physical Journal C: Particles and Fields, 2022
Monte Carlo (MC) simulations are extensively used for various purposes in modern high-energy physics (HEP) experiments. Precision measurements of established Standard Model processes or searches for new physics often require the collection of vast ...
Karl Ehatäht, Christian Veelken
doaj   +1 more source

Auxiliary Field Diffusion Monte Carlo calculation of nuclei with A<40 with tensor interactions [PDF]

open access: yes, 2007
We calculate the ground-state energy of 4He, 8He, 16O, and 40Ca using the auxiliary field diffusion Monte Carlo method in the fixed phase approximation and the Argonne v6' interaction which includes a tensor force.
Fantoni, S.   +3 more
core   +1 more source

Functional Connectivity Linked to Cognitive Recovery After Minor Stroke

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Patients with minor stroke exhibit slowed processing speed and generalized alterations in functional connectivity involving frontoparietal cortex (FPC). The pattern of connectivity evolves over time. In this study, we examine the relationship of functional connectivity patterns to cognitive performance, to determine ...
Vrishab Commuri   +7 more
wiley   +1 more source

A methodology for uncertainty quantification and sensitivity analysis for responses subject to Monte Carlo uncertainty with application to fuel plate characteristics in the ATRC

open access: yesNuclear Engineering and Technology, 2022
Large-scale reactor simulation often requires the use of Monte Carlo calculation techniques to estimate important reactor parameters. One drawback of these Monte Carlo calculation techniques is they inevitably result in some uncertainty in calculated ...
Dean Price   +3 more
doaj   +1 more source

Metropolis Methods for Quantum Monte Carlo Simulations [PDF]

open access: yes, 2003
Since its first description fifty years ago, the Metropolis Monte Carlo method has been used in a variety of different ways for the simulation of continuum quantum many-body systems.
Ceperley, D. M.
core   +3 more sources

Unraveling the Molecular Mechanisms of Glioma Recurrence: A Study Integrating Single‐Cell and Spatial Transcriptomics

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Glioma recurrence severely impacts patient prognosis, with current treatments showing limited efficacy. Traditional methods struggle to analyze recurrence mechanisms due to challenges in assessing tumor heterogeneity, spatial dynamics, and gene networks.
Lei Qiu   +10 more
wiley   +1 more source

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