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GALAMOST: GPU-accelerated large-scale molecular simulation toolkit
Journal of computational chemistry, 2013-09, Vol.34 (25), p.2197-2211
Zhu, You-Liang
Liu, Hong
Li, Zhan-Wei
Qian, Hu-Jun
Milano, Giuseppe
Lu, Zhong-Yuan
2013
Volltextzugriff (PDF)
Details
Autor(en) / Beteiligte
Zhu, You-Liang
Liu, Hong
Li, Zhan-Wei
Qian, Hu-Jun
Milano, Giuseppe
Lu, Zhong-Yuan
Titel
GALAMOST: GPU-accelerated large-scale molecular simulation toolkit
Ist Teil von
Journal of computational chemistry, 2013-09, Vol.34 (25), p.2197-2211
Ort / Verlag
United States: Blackwell Publishing Ltd
Erscheinungsjahr
2013
Quelle
Wiley-Blackwell Journals
Beschreibungen/Notizen
GALAMOST [graphics processing unit (GPU)‐accelerated large‐scale molecular simulation toolkit] is a molecular simulation package designed to utilize the computational power of GPUs. Besides the common features of molecular dynamics (MD) packages, it is developed specially for the studies of self‐assembly, phase transition, and other properties of polymeric systems at mesoscopic scale by using some lately developed simulation techniques. To accelerate the simulations, GALAMOST contains a hybrid particle‐field MD technique where particle–particle interactions are replaced by interactions of particles with density fields. Moreover, the numerical potential obtained by bottom‐up coarse‐graining methods can be implemented in simulations with GALAMOST. By combining these force fields and particle‐density coupling method in GALAMOST, the simulations for polymers can be performed with very large system sizes over long simulation time. In addition, GALAMOST encompasses two specific models, that is, a soft anisotropic particle model and a chain‐growth polymerization model, by which the hierarchical self‐assembly of soft anisotropic particles and the problems related to polymerization can be studied, respectively. The optimized algorithms implemented on the GPU, package characteristics, and benchmarks of GALAMOST are reported in detail. © 2013 Wiley Periodicals, Inc. A new molecular simulation toolkit composed of recently developed force fields and specified models is presented to study the self‐assembly, phase transition, and other properties of polymeric systems at the mesoscopic scale by using the computational power of graphics processing units. The hierarchical self‐assembly of soft anisotropic particles and the problems related to polymerization can be studied by corresponding models included in this toolkit.
Sprache
Englisch
Identifikatoren
ISSN: 0192-8651
eISSN: 1096-987X
DOI: 10.1002/jcc.23365
Titel-ID: cdi_proquest_miscellaneous_1443420467
Format
–
Schlagworte
1,2-Dipalmitoylphosphatidylcholine - chemistry
,
Charged particles
,
Computer Graphics
,
Density
,
Models, Molecular
,
Molecular Dynamics Simulation - standards
,
Molecular structure
,
Particle Size
,
Polymerization
,
Polymers
,
Polymers - chemistry
,
polymers MD GPU anisotropic particles polymerization
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