What question did this study set out to answer?

Develop and validate a stochastic velocity-rescaling algorithm for molecular dynamics that accurately samples the canonical distribution.

January 3, 2007The Journal of Chemical PhysicsOpen Access

Canonical sampling through velocity rescaling

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Authors

GBGiovanni Bussi DDDavide Donadio MPMichele Parrinello

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Overview

Computational study demonstrates canonical distribution sampling in molecular models, indicating improved simulation accuracy and dynamic property preservation.

Key Points

Develop and validate a stochastic velocity-rescaling algorithm for molecular dynamics that accurately samples the canonical distribution.
Formulated a molecular dynamics thermostat using stochastic velocity rescaling with an invariant conserved quantity to monitor sampling accuracy.
Tested the algorithm on solid and liquid phases using Lennard-Jones and TIP4P water interaction models.
Demonstrated exact canonical ensemble sampling while defining an evolution-invariant quantity to track integration accuracy.
Achieved high sampling efficiency that remained largely independent of the thermostat coupling parameter while preserving dynamic properties.

Cite This Study

Bussi et al. (2007) studied this question.

synapsesocial.com/papers/69d5ddd72c8f994bcf1f2d0d https://doi.org/10.1063/1.2408420

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January 3, 2007The Journal of Chemical PhysicsOpen Access

Canonical sampling through velocity rescaling

View Full Paper

Ask AI

Bookmark

Authors

GBGiovanni Bussi DDDavide Donadio MPMichele Parrinello

Discussion

Member takes

Overview

Computational study demonstrates canonical distribution sampling in molecular models, indicating improved simulation accuracy and dynamic property preservation.

Key Points

Develop and validate a stochastic velocity-rescaling algorithm for molecular dynamics that accurately samples the canonical distribution.
Formulated a molecular dynamics thermostat using stochastic velocity rescaling with an invariant conserved quantity to monitor sampling accuracy.
Tested the algorithm on solid and liquid phases using Lennard-Jones and TIP4P water interaction models.
Demonstrated exact canonical ensemble sampling while defining an evolution-invariant quantity to track integration accuracy.
Achieved high sampling efficiency that remained largely independent of the thermostat coupling parameter while preserving dynamic properties.

Cite This Study

Bussi et al. (2007) studied this question.

synapsesocial.com/papers/69d5ddd72c8f994bcf1f2d0d https://doi.org/10.1063/1.2408420

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