Single-site Lennard-Jones models via polynomial chaos surrogates of Monte Carlo molecular simulation
Type
ArticleKAUST Department
Applied Mathematics and Computational Science ProgramComputational Transport Phenomena Lab
Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
Earth Fluid Modeling and Prediction Group
Earth Science and Engineering Program
Physical Science and Engineering (PSE) Division
Uncertainty Quantification Center
Date
2016-06-02Online Publication Date
2016-06-02Print Publication Date
2016-06-07Permanent link to this record
http://hdl.handle.net/10754/612967
Metadata
Show full item recordAbstract
In this work, two Polynomial Chaos (PC) surrogates were generated to reproduce Monte Carlo (MC) molecular simulation results of the canonical (single-phase) and the NVT-Gibbs (two-phase) ensembles for a system of normalized structureless Lennard-Jones (LJ) particles. The main advantage of such surrogates, once generated, is the capability of accurately computing the needed thermodynamic quantities in a few seconds, thus efficiently replacing the computationally expensive MC molecular simulations. Benefiting from the tremendous computational time reduction, the PC surrogates were used to conduct large-scale optimization in order to propose single-site LJ models for several simple molecules. Experimental data, a set of supercritical isotherms, and part of the two-phase envelope, of several pure components were used for tuning the LJ parameters (ε, σ). Based on the conducted optimization, excellent fit was obtained for different noble gases (Ar, Kr, and Xe) and other small molecules (CH4, N2, and CO). On the other hand, due to the simplicity of the LJ model used, dramatic deviations between simulation and experimental data were observed, especially in the two-phase region, for more complex molecules such as CO2 and C2 H6.Citation
Single-site Lennard-Jones models via polynomial chaos surrogates of Monte Carlo molecular simulation 2016, 144 (21):214301 The Journal of Chemical PhysicsSponsors
This research is funded by King Abdullah University of Science and Technology (KAUST), Thuwal 23955-6900, Kingdom of Saudi Arabia.Publisher
AIP PublishingJournal
The Journal of Chemical PhysicsPubMed ID
27276951ae974a485f413a2113503eed53cd6c53
10.1063/1.4952976
Scopus Count
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