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Bayesian uncertainty quantification and propagation in molecular dynamics simulations: A high performance computing framework Panagiotis Angelikopoulos, Costas Papadimitriou, and Petros Koumoutsakos Citation: J. Chem. Ph
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Document Date: 2012-11-15 12:28:26


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File Size: 2,99 MB

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Zurich / Volos / /

Company

Engineering Laboratory / Monte Carlo / /

Country

Greece / /

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Facility

American Institute of Physics Downloaded / University of Thessaly / American Institute of Physics / /

IndustryTerm

gas state / performance computing / free energy calculations / neighborhood search / stochastic optimization algorithms / software implementation / free energy / individual chain / computational tool / solution algorithms / stochastic simulation algorithms / atomistic simulation protocol / permeation free energy / atomistic systems / performance computing framework / molecular systems / energy / /

OperatingSystem

Petros / /

Organization

American Institute of Physics Downloaded / American Institute of Physics / Switzerland Department of Mechanical Engineering / University of Thessaly / U.S. Securities and Exchange Commission / /

Person

Panagiotis Angelikopoulos / Costas Papadimitriou / /

Position

Prime Minister / /

Product

the software DACE56 / DACE56 / /

PublishedMedium

THE JOURNAL OF CHEMICAL PHYSICS / /

Technology

solution algorithms / DREAM algorithms / thermodynamics / stochastic simulation algorithms / simulated annealing algorithms / stochastic optimization algorithms / dielectric / simulation / atomistic simulation protocol / PDF / UQ+P algorithms / /

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http /

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