Results 71 to 80 of about 255,160 (310)
Research synthesis and meta‐analysis of Monte Carlo studies: the best of two worlds
Research syntheses and meta‐analyses have been widely used to combine primary applied research studies. To date, there has been little work applying these methods to combine Monte Carlo studies, however narrative reviews are common to evaluate the Monte ...
Brandon LeBeau
doaj +1 more source
Computing mean first exit times for stochastic processes using multi-level Monte Carlo [PDF]
The multi-level approach developed by Giles (2008) can be used to estimate mean first exit times for stochastic differential equations, which are of interest in finance, physics and chemical kinetics.
Mikolaj Roj +4 more
core +1 more source
We report a multifunctional tapered optical fiber integrating a conformal micro‐resistance temperature detector (µRTD) for local, real‐time thermometry during optical stimulation. The platform combines light‐delivery and temperature sensing within a minimally invasive footprint, enabling detection of sub‐degree cortical heating under representative ...
Antonio Balena +6 more
wiley +1 more source
Phase space sampling with Markov Chain Monte Carlo methods [PDF]
The efficient exploration of the high-dimensional and multi-modal phase space of scattering events at high-energy particle colliders presents a severe computational challenge. We here discuss the application of Markov Chain Monte Carlo (MCMC) techniques,
La Cagnina Salvatore +4 more
doaj +1 more source
Inverse Design of Amorphous Materials With Targeted Properties
AMDEN is a diffusion model framework for the inverse design of amorphous materials with targeted properties. By incorporating Hamiltonian Monte Carlo refinement into the denoising process, the framework overcomes the challenge of generating thermally relaxed disordered structures.
Jonas A. Finkler +4 more
wiley +1 more source
The field of polymer thermoelectrics is entering a new era, featuring breakthroughs in addressing the conventional performance disparity between p‐type and n‐type polymers, pioneering doping frontiers, and sophisticated decoupling strategies. This review explores innovations in molecular design and superior stabilities, bridging the gap from ...
Suhao Wang
wiley +1 more source
Application of Monte Carlo simulation methods in risk management
The paper deals with Monte Carlo simulation method and its application in Risk Management. The author with the help of MATLAB 7.0 introduces new modification of Monte Carlo algorithm aimed at fast and effective calculation of financial organization's ...
Alexander Suhobokov
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Polymer simulations make extensive use of biased Monte Carlo schemes. In this paper, I describe a subset of polymer‐simulation algorithms that aim to increase the sampling efficiency by biasing the selection of trial moves. Algorithms that belong to this category are the Configurational Bias MC method (CBMC), Dynamical Pruned Enriched Rosenbluth ...
openaire +3 more sources
Mean exit times and the multilevel Monte Carlo method [PDF]
Numerical methods for stochastic differential equations are relatively inefficient when used to approximate mean exit times. In particular, although the basic Euler–Maruyama method has weak order equal to one for approximating the expected value of the ...
Roj, Mikolaj +4 more
core +1 more source
Correlated Charge Transport in an Organic Coulomb Glass
ABSTRACT Advances in the development of organic field‐effect transistors (OFETs), electrically gated organic semiconductors (EGOFETs), and organic electrochemical transistors (OECTs) allow for the operation of these devices at very high charge‐carrier densities, where Coulomb interactions between carriers can be expected to become significant.
Magdalena Sophie Dörfler +3 more
wiley +1 more source

