Results 61 to 70 of about 11,939,645 (246)

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

Fast Simulation Study of Muon Absorption Radiography Based on Energy Loss Calculation

Yuanzineng kexue jishu, 2022
Using natural cosmic ray muon as radiation source, muon absorption radiography can realize nondestructive detection of large-scale geological objects. Simulation analysis is an important step in the application of muon absorption radiography.
DING Wenwan;LIU Yuanyuan;WANG Li;SU Ning;CHENG Jianping;HAN Jianwu;ZHEN Gang
doaj  

Definition of Maintenance Policies in Power Systems Using a Sequential Monte Carlo

U.Porto Journal of Engineering, 2015
This paper reports an application of a simulationmethod called chronological Monte Carlo to evaluate power systems reliability. The Monte Carlo methods are, nowadays, the most widely used method for the estimation of reliability indices.
João Silva
doaj   +1 more source

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

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

Monte Carlo simulation for statistical Hauser-Feshbach theory

EPJ Web of Conferences, 2010
Monte Carlo simulations for particle and γ-ray emissions from a compound nucleus based on the Hauser-Feshbach statistical theory are performed. The Monte Carlo method is applied to the neutron induced nuclear reactions on 56Fe, and the results are ...
Watanabe T., Chadwick M.B., Talou P., Kawano T.   +3 more
doaj   +1 more source

Azobenzene's Cross‐Scale Optics and Photonics: Molecular Photoswitching, Mesoscopic Material Motions, and Adaptive Devices

Advanced Materials, EarlyView.
Azobenzene photoswitches translate molecular‐scale E/Z photoisomerization into macroscopic material responses and device‐level photonic functions. This Review highlights how azobenzene research has evolved from molecular photochemistry to photoalignment, mass migration, photomechanics, and heat release, ultimately enabling holography, reconfigurable ...
Heeju Son, Soyul Kwak, Heerin Noh, Minsang Kim, Doyeon Noh, Subhayan Chakraborty, Jaewon Lee, YongDeok Cho, Kyeongsoo Kim, Taewoong Eom, Moonyoung Kim, Jangwon Kim, Hoyoung Lee, Soyoung Lee, Jaehun Kim, Grace G. D. Han, Shin‐Tson Wu, Stefano Oscurato, Arri Priimagi, Marina Saphiannikova, Seungwoo Lee   +20 more
wiley   +1 more source

Performance of Hamiltonian Monte Carlo and No-U-Turn Sampler for estimating genetic parameters and breeding values

Genetics Selection Evolution, 2019
Background Hamiltonian Monte Carlo is one of the algorithms of the Markov chain Monte Carlo method that uses Hamiltonian dynamics to propose samples that follow a target distribution.
Motohide Nishio, Aisaku Arakawa
doaj   +1 more source

Correlated Charge Transport in an Organic Coulomb Glass

Advanced Materials, EarlyView.
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, Heinz Bässler, Harald Oberhofer, Anna Köhler   +3 more
wiley   +1 more source

Evaluating Embedded Monte Carlo vs. Total Monte Carlo for Nuclear Data Uncertainty Quantification [PDF]

EPJ Web of Conferences
The purpose of this paper is to compare a new method called Embedded Monte Carlo (EMC) to the well-known Total Monte Carlo (TMC) method for nuclear data uncertainty propagation.
Biot Grégoire, Rochman Dimitri, Ducru Pablo, Forget Benoit   +3 more
doaj   +1 more source