Using collective variables to drive molecular dynamics simulations
Abstract
A software framework is introduced that facilitates the application of biasing algorithms to collective variables of the type commonly employed to drive massively parallel molecular dynamics (MD) simulations. The modular framework that is presented enables one to combine existing collective variables into new ones, and combine any chosen collective variable with available biasing methods. The latter include the classic time-dependent biases referred to as steered MD and targeted MD, the temperature-accelerated MD algorithm, as well as the adaptive free-energy biases called metadynamics and adaptive biasing force. The present modular software is extensible, and portable between commonly used MD simulation engines.
- Authors:
-
- Temple Univ., Philadelphia, PA (United States). Dept. of Chemistry and Institute for Computational Molecular Science
- National Centre for Scientific Research (CNRS), Paris (France). Lab. de Biochimie Th´eorique, Inst. de Biologie Physico-Chimique,
- Publication Date:
- Research Org.:
- Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States). Oak Ridge Leadership Computing Facility (OLCF)
- Sponsoring Org.:
- USDOE Office of Science (SC)
- OSTI Identifier:
- 1565184
- Resource Type:
- Accepted Manuscript
- Journal Name:
- Molecular Physics
- Additional Journal Information:
- Journal Volume: 111; Journal Issue: 22-23; Journal ID: ISSN 0026-8976
- Publisher:
- Taylor & Francis
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 74 ATOMIC AND MOLECULAR PHYSICS; Chemistry; Physics
Citation Formats
Fiorin, Giacomo, Klein, Michael L., and Hénin, Jérôme. Using collective variables to drive molecular dynamics simulations. United States: N. p., 2013.
Web. doi:10.1080/00268976.2013.813594.
Fiorin, Giacomo, Klein, Michael L., & Hénin, Jérôme. Using collective variables to drive molecular dynamics simulations. United States. https://doi.org/10.1080/00268976.2013.813594
Fiorin, Giacomo, Klein, Michael L., and Hénin, Jérôme. Sat .
"Using collective variables to drive molecular dynamics simulations". United States. https://doi.org/10.1080/00268976.2013.813594. https://www.osti.gov/servlets/purl/1565184.
@article{osti_1565184,
title = {Using collective variables to drive molecular dynamics simulations},
author = {Fiorin, Giacomo and Klein, Michael L. and Hénin, Jérôme},
abstractNote = {A software framework is introduced that facilitates the application of biasing algorithms to collective variables of the type commonly employed to drive massively parallel molecular dynamics (MD) simulations. The modular framework that is presented enables one to combine existing collective variables into new ones, and combine any chosen collective variable with available biasing methods. The latter include the classic time-dependent biases referred to as steered MD and targeted MD, the temperature-accelerated MD algorithm, as well as the adaptive free-energy biases called metadynamics and adaptive biasing force. The present modular software is extensible, and portable between commonly used MD simulation engines.},
doi = {10.1080/00268976.2013.813594},
journal = {Molecular Physics},
number = 22-23,
volume = 111,
place = {United States},
year = {Sat Jul 06 00:00:00 EDT 2013},
month = {Sat Jul 06 00:00:00 EDT 2013}
}
Web of Science
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