Results 61 to 70 of about 629,308 (310)

Approach to ergodicity in Monte Carlo simulations

Physical Review E, 2000
17 Pages, 7 ...
Neirotti, J. P., Freeman, David L., Doll, J. D.   +2 more
openaire   +5 more sources

A Workflow to Accelerate Microstructure‐Sensitive Fatigue Life Predictions

Advanced Engineering Materials, EarlyView.
This study introduces a workflow to accelerate predictions of microstructure‐sensitive fatigue life. Results from frameworks with varying levels of simplification are benchmarked against published reference results. The analysis reveals a trade‐off between accuracy and model complexity, offering researchers a practical guide for selecting the optimal ...
Luca Loiodice, Krzysztof S. Stopka, Michael D. Sangid   +2 more
wiley   +1 more source

DosePatch: physics-inspired cropping layout for patch-based Monte Carlo simulations to provide fast and accurate internal dosimetry

EJNMMI Physics
Background Dosimetry-based personalized therapy was shown to have clinical benefits e.g. in liver selective internal radiation therapy (SIRT). Yet, there is no consensus about its introduction into clinical practice, mainly as Monte Carlo simulations ...
Francesca De Benetti, Julia Brosch-Lenz, Jorge Mario Guerra González, Carlos Uribe, Matthias Eiber, Nassir Navab, Thomas Wendler   +6 more
doaj   +1 more source

Monte Carlo simulation on transputer arrays

Parallel Computing, 1988
A Monte Carlo simulation of a simple two-dimensional spin system as representative of a range of theoretical physics problems, is arranged for parallel computation by a multi-processor (transputer) array. Two essentially different types of decomposition; ``geometric'' where each processor handles a small sector of the physical system, and ``algorithmic'
Pritchard, D J, Askew, C R, Carpenter, B, Chalker, J T, Daniell, G J, Hey, A J G, Moore, M, Nicole, D.A., Teper, M   +8 more
openaire   +4 more sources

HOOMD-blue: A Python package for high-performance molecular dynamics and hard particle Monte Carlo simulations

, 2013
HOOMD-blue is a particle simulation engine designed for nano- and colloidal-scale molecular dynamics and hard particle Monte Carlo simulations. It has been actively developed since March 2007 and available open source since August 2008.
Joshua A. Anderson, Jens Glaser, S. Glotzer   +2 more
semanticscholar   +1 more source

Fostering Innovation: Streamlining Magnetocaloric Materials Research by Digitalization

Advanced Engineering Materials, EarlyView.
Magnetocaloric cooling (MCE) is an environmentally friendly refrigeration method with great potential. Optimizing MCE materials involves the preparation and screening of large quantities of samples, which in turn generates a large amount of data. A digitalization approach is presented that uses ontologies, knowledge graphs, and digital workflows to ...
Simon Bekemeier, Moritz Blum, Luana Caron, Alisa Chirkova, Philipp Cimiano, Basil Ell, Inga Ennen, Michael Feige, Maik Gaerner, Thomas Hilbig, Andreas Hütten, Günter Reiss, Tapas Samanta, Sonja Schöning, Christian Schröder, Lennart Schwan, Chris Taake, Martin Wortmann   +17 more
wiley   +1 more source

Fast and Accurate Influence Maximization on Large Networks with Pruned Monte-Carlo Simulations

AAAI Conference on Artificial Intelligence, 2014
Influence maximization is a problem to find small sets of highly influential individuals in a social network to maximize the spread of influence under stochastic cascade models of propagation.
Naoto Ohsaka, Takuya Akiba, Yuichi Yoshida, K. Kawarabayashi   +3 more
semanticscholar   +1 more source

All-electron path integral Monte Carlo simulations of warm dense matter: application to water and carbon plasmas. [PDF]

Physical Review Letters, 2012
We develop an all-electron path integral Monte Carlo method with free-particle nodes for warm dense matter and apply it to water and carbon plasmas. We thereby extend path integral Monte Carlo studies beyond hydrogen and helium to elements with core ...
K. Driver, B. Militzer
semanticscholar   +1 more source

Workflow for Design of Experiments‐Based Modeling of Species Transport and Growth Kinetics in GaN Hydride Vapor Phase Epitaxy

Advanced Engineering Materials, EarlyView.
A novel workflow for investigating hydride vapor phase epitaxy for GaN bulk crystal growth is proposed. It combines Design of experiments (DoE) with physical simulations of mass transport and crystal growth kinetics, serving as an intermediate step between DoE and experiments.
J. Tomkovič, G. Lukin, H. Torkashvand, A. Kerschbaum, M. Müller, S. Besendörfer, J. Heitmann, J. Friedrich   +7 more
wiley   +1 more source

Upsampling Monte Carlo Reactor Simulation Tallies in Depleted Sodium-Cooled Fast Reactor Assemblies Using a Convolutional Neural Network

Energies
The computational demand of neutron Monte Carlo transport simulations can increase rapidly with the spatial and energy resolution of tallied physical quantities.
Jessica Berry, Paul Romano, Andrew Osborne   +2 more
doaj   +1 more source