Results 61 to 70 of about 128,537,122 (247)

Analysing multi-level Monte Carlo for options with non-globally Lipschitz payoff [PDF]

, 2009
Giles (Multilevel Monte Carlo path simulation Operations Research, 2008; 56:607-617) introduced a multi-level Monte Carlo method for approximating the expected value of a function of a stochastic differential equation solution.
Higham, Desmond J., Mao, Xuerong, Giles, Michael B.   +2 more
core   +2 more sources

Conversion of Monte Carlo Steps to Real Time for Grain Growth Simulation

Advances in Mathematical Physics, 2017
Monte Carlo (MC) technique is becoming a very effective simulation method for prediction and analysis of the grain growth kinetics at mesoscopic level.
N. Maazi
doaj   +1 more source

Architecture‐Driven Functional Coupling in Vertically Aligned Nanocomposites

Advanced Functional Materials, EarlyView.
Vertically aligned nanocomposites define a growth‐engineered architecture in which vertical interfaces, strain fields, defect pathways, and phase connectivity are created simultaneously. This review shows how these architectural features couple ferroic, optical, ionic, electrochemical, and device responses, establishing design rules and open challenges
Md Shatil Islam‐Shanto, Javier Zamudio‐García, Abraham Sánchez‐Caballero, David Marrero‐López, Vincenzo Esposito   +4 more
wiley   +1 more source

Hybrid Monte Carlo on Hilbert spaces [PDF]

, 2011
The Hybrid Monte Carlo (HMC) algorithm provides a framework for sampling from complex, high-dimensional target distributions. In contrast with standard Markov chain Monte Carlo (MCMC) algorithms, it generates nonlocal, nonsymmetric moves in the state ...
Beskos, A, Sanz-Serna, JM, Beskos, A., Pinski, F. J., Sanz-Serna, J.M., F.J. Pinski, J.M. Sanz-Serna, A. Beskos, Pinski, FJ, A.M. Stuart, Stuart, A.M., Stuart, AM, Sanz-Serna, J. M., Beskos, Alexandros, Stuart, A. M., Pinski, F.J.   +15 more
core   +1 more source

Accelerated Discovery of Topological Spin Phase Diagrams in CrSBr Magnets Via High‐Throughput Optimization

Advanced Functional Materials, EarlyView.
Here, we develop a high‐throughput algorithm that accelerates the elucidation of phase diagrams of topological spin textures using limited computational resources at high numerical accuracy. Applying this framework to the van der Waals magnet CrSBr, we unveiled a hierarchy of previously unknown topological textures (domain‐wall bimerons, bimeron chains,
Andrew Lyall, Mohammad H. Badarneh, Cristian Bonato, Rebecca Cheung, Elton J. G. Santos   +4 more
wiley   +1 more source

Determination of Organ Doses in Radioiodine Therapy using Monte Carlo Simulation

World Journal of Nuclear Medicine, 2015
Radioactive iodine treatment is a type of internal radiotherapy that has been used effectively for the treatment of differentiated thyroid cancer after thyroidectomy.
Daryoush Shahbazi-Gahrouei, Saba Ayat
doaj   +1 more source

Markov chain Monte Carlo methods for state-space models with point process observations [PDF]

, 2012
This letter considers how a number of modern Markov chain Monte Carlo (MCMC) methods can be applied for parameter estimation and inference in state-space models with point process observations.
Niranjan, Mahesan, Girolami, Mark, Yuan, Ke   +2 more
core   +1 more source

Hopping‐Mediated Zero‐Bias Photocharge Retention in Solution‐Processed Van Der Waals Heterostructures

Advanced Functional Materials, EarlyView.
Liquid–liquid interface assembly enables the fabrication of solution‐processed MoS2 and WSe2 centimeter‐scale, nanometer‐thick type‐II heterostructures on paper. Interfacial charge separation and hopping‐limited recombination produce rectification and persistent photocharge retention at zero bias.
Aniello Pelella, Andrea Sessa, Yi‐Chen Tsai, Xuzhao Liu, Abdul Mannan, George Greaves, Yahya Saboon, Ben Spencer, Antonio Di Bartolomeo, Cinzia Casiraghi, Jessica Boland, Alessandro Grillo   +11 more
wiley   +1 more source

Stochastic Assessment of Voltage Sags in Distribution Networks

Iranian Journal of Electrical and Electronic Engineering, 2008
This paper compares fault position and Monte Carlo methods as the most common methods in stochastic assessment of voltage sags. To compare their abilities, symmetrical and unsymmetrical faults with different probability distribution of fault positions ...
M. Aliakbar-Golkar, Y. Raisee-Gahrooyi
doaj  

Nitride MXenes Beyond Carbides: Bridging the Gap Between Computational Prediction and Experimental Realization

Advanced Functional Materials, EarlyView.
Nitride MXenes remain constrained by a persistent gap between computational prediction and experimental realization. This Review identifies the thermodynamic, kinetic, and chemical barriers limiting their synthesis, critically evaluates emerging fabrication routes, and proposes a multidimensional computational‐experimental framework to accelerate the ...
Naresh Varnakavi, Masoud Soroush
wiley   +1 more source