IRUS Total

raaSAFT: A framework enabling coarse-grained molecular dynamics simulations based on the SAFT-γ Mie force field

File Description SizeFormat 
raasaft-final-version.pdfAccepted version4.13 MBAdobe PDFView/Open
Title: raaSAFT: A framework enabling coarse-grained molecular dynamics simulations based on the SAFT-γ Mie force field
Authors: Ervik, AS
Serratos, GJ
Müller, EA
Item Type: Journal Article
Abstract: We describe here raaSAFT, a Python code that enables the setup and running of coarse-grained molecular dynamics simulations in a systematic and efficient manner. The code is built on top of the popular HOOMD-blue code, and as such harnesses the computational power of GPUs. The methodology makes use of the SAFT-γ Mie force field, so the resulting coarse grained pair potentials are both closely linked to and consistent with the macroscopic thermodynamic properties of the simulated fluid. In raaSAFT both homonuclear and heteronuclear models are implemented for a wide range of compounds spanning from linear alkanes, to more complicated fluids such as water and alcohols, all the way up to nonionic surfactants and models of asphaltenes and resins. Adding new compounds as well as new features is made straightforward by the modularity of the code. To demonstrate the ease-of-use of raaSAFT, we give a detailed walkthrough of how to simulate liquid–liquid equilibrium of a hydrocarbon with water. We describe in detail how both homonuclear and heteronuclear compounds are implemented. To demonstrate the performance and versatility of raaSAFT, we simulate a large polymer-solvent mixture with 300 polystyrene molecules dissolved in 42 700 molecules of heptane, reproducing the experimentally observed temperature-dependent solubility of polystyrene. For this case we obtain a speedup of more than three orders of magnitude as compared to atomistically-detailed simulations.
Issue Date: 7-Sep-2016
Date of Acceptance: 24-Jul-2016
URI: http://hdl.handle.net/10044/1/42772
DOI: https://dx.doi.org/10.1016/j.cpc.2016.07.035
ISSN: 0010-4655
Publisher: Elsevier
Start Page: 161
End Page: 179
Journal / Book Title: Computer Physics Communications
Volume: 212
Copyright Statement: © 2016 Elsevier B.V. All rights reserved. This manuscript is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International http://creativecommons.org/licenses/by-nc-nd/4.0/
Keywords: Science & Technology
Physical Sciences
Computer Science, Interdisciplinary Applications
Physics, Mathematical
Computer Science
Molecular dynamics
SAFT-gamma Mie
Nuclear & Particles Physics
01 Mathematical Sciences
02 Physical Sciences
08 Information And Computing Sciences
Publication Status: Published
Appears in Collections:Chemical Engineering
Faculty of Engineering