DocumentCode :
1954041
Title :
Accelerating Water Molecular Simulation with RMD
Author :
Kashihara, Y. ; Nagano, A. ; Zhiwei Luo
Author_Institution :
Grad. Sch. of Eng., Kobe Univ., Kobe, Japan
fYear :
2013
fDate :
29-31 Jan. 2013
Firstpage :
166
Lastpage :
171
Abstract :
Molecular Dynamics method(MD) has been used for simulations of the structure and dynamics of soft matter, biological molecules, fluid and more. However, the calculation cost has been a major bottleneck. Coarse-grained molecular dynamics is one of the most popular methods to accelerate the simulation, and this method is especially used for simulations of biological molecules. Though water is usually used as the solvent in the simulation of biological molecules, it takes a lot of computational cost to simulate the water because of its coulomb force and three-dimensional structure. In this study, we propose the new coarse-grained method for water molecular simulation based of Renormalization Molecular Dynamics method(RMD). We derive the radial distribution functions at 298[K] and at 220[K] to compare with results of all-atom MD. Then, we got similar results with all-atom MD simulation and it was 24 times faster than all-atom MD.
Keywords :
molecular dynamics method; renormalisation; soft matter; 3D structure; Coulomb force; H2O; RMD; all-atom MD simulation; biological molecule simulations; coarse-grained method; coarse-grained molecular dynamics; computational cost; dynamics simulation; fluid; radial distribution functions; renormalization molecular dynamics method; soft matter; structure simulation; temperature 220 K; temperature 298 K; water molecular simulation acceleration; Acceleration; Biological system modeling; Computational modeling; Equations; Mathematical model; Resource description framework; coarse-grained; molecular simulation; renormalization; water molecule;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Systems Modelling & Simulation (ISMS), 2013 4th International Conference on
Conference_Location :
Bangkok
ISSN :
2166-0662
Print_ISBN :
978-1-4673-5653-4
Type :
conf
DOI :
10.1109/ISMS.2013.70
Filename :
6498257
Link To Document :
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