Accelerating the Convergence of Replica Exchange Simulations Using Gibbs Sampling and Adaptive Temperature Sets
Abstract
We recently introduced a novel replica-exchange scheme in which an individual replica can sample from states encountered by other replicas at any previous time by way of a global configuration database, enabling the fast propagation of relevant states through the whole ensemble of replicas. This mechanism depends on the knowledge of global thermodynamic functions which are measured during the simulation and not coupled to the heat bath temperatures driving the individual simulations. Therefore, this setup also allows for a continuous adaptation of the temperature set. In this paper, we will review the new scheme and demonstrate its capability. Furthermore, the method is particularly useful for the fast and reliable estimation of the microcanonical temperature T(U) or, equivalently, of the density of states g(U) over a wide range of energies.
- Authors:
-
- Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
- Publication Date:
- Research Org.:
- Los Alamos National Laboratory (LANL), Los Alamos, NM (United States)
- Sponsoring Org.:
- USDOE National Nuclear Security Administration (NNSA)
- OSTI Identifier:
- 1214939
- Alternate Identifier(s):
- OSTI ID: 1246351
- Report Number(s):
- LA-UR-15-21704
Journal ID: ISSN 1875-3892; PII: S1875389215007312
- Grant/Contract Number:
- AC52-06NA25396
- Resource Type:
- Accepted Manuscript
- Journal Name:
- Physics Procedia
- Additional Journal Information:
- Journal Volume: 68; Journal Issue: C; Conference: 28th Annual CSP Workshop on “Recent Developments in Computer Simulation Studies in Condensed Matter Physics”, CSP 2015; Journal ID: ISSN 1875-3892
- Publisher:
- Elsevier
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 99 GENERAL AND MISCELLANEOUS; 97 MATHEMATICS AND COMPUTING; Replica exchange; molecular dynamics; Gibbs sampling; adaptive temperature set; multicanonical; microcanonical temperature; 36 MATERIALS SCIENCE; replica exchange
Citation Formats
Vogel, Thomas, and Perez, Danny. Accelerating the Convergence of Replica Exchange Simulations Using Gibbs Sampling and Adaptive Temperature Sets. United States: N. p., 2015.
Web. doi:10.1016/j.phpro.2015.07.121.
Vogel, Thomas, & Perez, Danny. Accelerating the Convergence of Replica Exchange Simulations Using Gibbs Sampling and Adaptive Temperature Sets. United States. https://doi.org/10.1016/j.phpro.2015.07.121
Vogel, Thomas, and Perez, Danny. Fri .
"Accelerating the Convergence of Replica Exchange Simulations Using Gibbs Sampling and Adaptive Temperature Sets". United States. https://doi.org/10.1016/j.phpro.2015.07.121. https://www.osti.gov/servlets/purl/1214939.
@article{osti_1214939,
title = {Accelerating the Convergence of Replica Exchange Simulations Using Gibbs Sampling and Adaptive Temperature Sets},
author = {Vogel, Thomas and Perez, Danny},
abstractNote = {We recently introduced a novel replica-exchange scheme in which an individual replica can sample from states encountered by other replicas at any previous time by way of a global configuration database, enabling the fast propagation of relevant states through the whole ensemble of replicas. This mechanism depends on the knowledge of global thermodynamic functions which are measured during the simulation and not coupled to the heat bath temperatures driving the individual simulations. Therefore, this setup also allows for a continuous adaptation of the temperature set. In this paper, we will review the new scheme and demonstrate its capability. Furthermore, the method is particularly useful for the fast and reliable estimation of the microcanonical temperature T(U) or, equivalently, of the density of states g(U) over a wide range of energies.},
doi = {10.1016/j.phpro.2015.07.121},
journal = {Physics Procedia},
number = C,
volume = 68,
place = {United States},
year = {Fri Aug 28 00:00:00 EDT 2015},
month = {Fri Aug 28 00:00:00 EDT 2015}
}
Web of Science
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