Results 41 to 50 of about 577,814 (285)

Stepping Out of Equilibrium: The Quest for Understanding the Role of Non-Equilibrium (Thermo-)Dynamics in Electronic and Electrochemical Processes

Entropy, 2020
This editorial aims to interest researchers and inspire novel research on the topic of non-equilibrium Thermodynamics and Monte Carlo for Electronic and Electrochemical Processes.
Waldemar Kaiser, Alessio Gagliardi
doaj   +1 more source

Hopfield Neural Networks for Online Constrained Parameter Estimation With Time‐Varying Dynamics and Disturbances

International Journal of Adaptive Control and Signal Processing, EarlyView.
This paper proposes two projector‐based Hopfield neural network (HNN) estimators for online, constrained parameter estimation under time‐varying data, additive disturbances, and slowly drifting physical parameters. The first is a constraint‐aware HNN that enforces linear equalities and inequalities (via slack neurons) and continuously tracks the ...
Miguel Pedro Silva
wiley   +1 more source

Symmetry Enforced Self-Learning Monte Carlo Method Applied to the Holstein Model

, 2018
Self-learning Monte Carlo method (SLMC), using a trained effective model to guide Monte Carlo sampling processes, is a powerful general-purpose numerical method recently introduced to speed up simulations in (quantum) many-body systems.
Batrouni, George, Chen, Chuang, Liu, Junwei, Meng, Zi Yang, Scalettar, Richard, Xu, Xiao Yan   +5 more
core   +3 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

Interdisciplinary Monte Carlo Simulations [PDF]

, 2005
Biological, linguistic, sociological and economical applications of statistical physics are reviewed here. They have been made on a variety of computers over a dozen years, not only at the NIC computers. A longer description can be found in our new book,
D. Wolf, Dietrich Stauffer, Dietrich Stauffer, G. Münster, M. Kremer (editors   +4 more
core   +3 more sources

Monte Carlo Simulations in Multibaric-Multithermal Ensemble

, 2003
We propose a new generalized-ensemble algorithm, which we refer to as the multibaric-multithermal Monte Carlo method. The multibaric-multithermal Monte Carlo simulations perform random walks widely both in volume space and in potential energy space. From
Allen, Bartels, Berg, Berg, Berg, Caillol, Creutz, Ferrenberg, Frenkel, Higo, Hisashi Okumura, Iba, Johnson, Kumar, Lee, McDonald, Metropolis, Mitsutake, Okamoto, Okumura, Okumura, Okumura, Panagiotopoulos, Potoff, Sun, Yan, Yuko Okamoto   +26 more
core   +1 more source

Monte Carlo calculation for systems consisting of several coordinate patches [PDF]

, 1994
I investigate the time step dependence of Monte Carlo simulations for coordinate-spaces consisting of several patches. It is shown that a naive kinetic term does not necessarily converge to the same spectrum as a Hamiltonian calculation. Then an improved
Claus Vohwinkel, Koller, Kripfganz, Michael, Tiedemann, van Baal, van Baal, van Baal   +7 more
core   +2 more sources

Exploring Dipolar Dynamics and Ionic Transport in Metal‐Organic Frameworks: Experimental and Theoretical Insights

Advanced Functional Materials, EarlyView.
In this study, the interplay of dipolar dynamics and ionic charge transport in MOF compounds is investigated. Synthesizing the novel structure CFA‐25 with integrated freely rotating dipolar groups, local and macroscopic effects, including interactions with Cs cations are explored.
Ralph Freund, Arthur Schulz, Peter Lunkenheimer, Maryana Kraft, Thomas Bergler, Harald Oberhofer, Dirk Volkmer   +6 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