Isokinetic approach in logarithmic mean-force dynamics for on-the-fly free energy reconstruction
- 1. Mathematics for Advanced Materials Open Innovation Laboratory (MathAM-OIL), National Institute of Advanced Industrial Science and Technology (AIST), c/o AIMR, Tohoku University, 2-1-1 Katahira, Aoba-ku, Sendai 980-8577 (Japan)
- 2. Research Center for Computational Design of Advanced Functional Materials (CD-FMat), National Institute of Advanced Industrial Science and Technology (AIST), Central 2, 1-1-1 Umezono, Tsukuba 305-8568 (Japan)
- 3. JST, PRESTO, 4-1-8 Honcho, Kawaguchi, Saitama 332-0012 (Japan)
- 4. Department of Materials Chemistry, Nagoya University, Furo-cho, Chikusa-ku, Nagoya 464-8603 (Japan)
- 5. Department of Fusion Science, The Graduate University for Advanced Studies, 322-6 Oroshi-cho, Toki 509-5292 (Japan)
- 6. Department of Helical Plasma Research, National Institute for Fusion Science, National Institutes of Natural Sciences, 322-6 Oroshi-cho, Toki 509-5292 (Japan)
Description
Highlights: • LogMFD is extended to incorporate the isokinetic dynamics. • The isokinetic LogMFD approach requires no parameter for thermostatting. • The isokinetic approach makes it easier to set up and undertake LogMFD calculations. • The validity of the isokinetic algorithm in LogMFD is confirmed by a benchmark system. Logarithmic mean-force dynamics (LogMFD) is one of free energy calculation methods that utilize fictitious dynamical variables for efficient conformational sampling. In this study, we extend the LogMFD method to incorporate the isokinetic dynamics for the fictitious dynamical variables. The isokinetic LogMFD approach requires no additional parameter for thermostatting and it obviates the issue associated with the dynamics of the thermostat variable in Nosé-Hoover type thermostats. These virtues therefore make it easier to set up and undertake LogMFD calculations. The validity of the isokinetic algorithm introduced in LogMFD is examined by a benchmark system of alanine dipeptide in explicit water.
Availability note (English)
Available from http://dx.doi.org/10.1016/j.cplett.2018.07.011Additional details
Identifiers
- DOI
- 10.1016/j.cplett.2018.07.011;
- PII
- S0009261418305542;
Publishing Information
- Journal Title
- Chemical Physics Letters
- Journal Volume
- 706
- Journal Page Range
- p. 633-640
- ISSN
- 0009-2614
- CODEN
- CHPLBC
INIS
- Country of Publication
- Netherlands
- Country of Input or Organization
- International Atomic Energy Agency (IAEA)
- INIS RN
- 53002001
- Subject category
- S71: CLASSICAL AND QUANTUM MECHANICS, GENERAL PHYSICS; S42: ENGINEERING; S74: ATOMIC AND MOLECULAR PHYSICS;
- Descriptors DEI
- ALGORITHMS; BENCHMARKS; FREE ENERGY; MOLECULAR DYNAMICS METHOD; PROTEINS; SAMPLING; WATER
- Descriptors DEC
- CALCULATION METHODS; ENERGY; HYDROGEN COMPOUNDS; MATHEMATICAL LOGIC; ORGANIC COMPOUNDS; OXYGEN COMPOUNDS; PHYSICAL PROPERTIES; THERMODYNAMIC PROPERTIES
Optional Information
- Copyright
- Copyright (c) 2018 Elsevier B.V. All rights reserved.