Bulletin of the American Physical Society
2024 APS March Meeting
Monday–Friday, March 4–8, 2024; Minneapolis & Virtual
Session G34: Emulsions, Micelles and Vesicles
11:30 AM–2:06 PM,
Tuesday, March 5, 2024
Room: 102F
Sponsoring
Unit:
DSOFT
Chair: Yihao Chen, University of Pennsylvania
Abstract: G34.00013 : Many-Body Dissipative Particle Dynamics with the MARTINI "Lego" Approach*
1:54 PM–2:06 PM
Presenter:
Luis H Carnevale
(Institute of Physics, Polish Academy of Science)
Authors:
Luis H Carnevale
(Institute of Physics, Polish Academy of Science)
Panagiotis E Theodorakis
(Institute of Physics, Polish Academy of Sciences)
(MD) simulations. It is based on the “Lego” approach where intermolecular interactions
between coarse-grained beads representing chemical units of different polarity are obtained
through water–octanol partition coefficients. This enables the simulation of a wide range of
molecules by only using a finite number of parametrized coarse-grained beads, similar to the
Lego game, where a finite number of bricks are used to create larger structures. Moreover, the
MARTINI force-field is based on the Lennard-Jones potential with the shortest possible cutoff
including attractions, thus rendering it very efficient for MD simulations. However, MD simulation
is in general a computationally expensive method. Here, we demonstrate that using the
MARTINI “Lego” approach is suitable for many-body dissipative particle (MDPD) dynamics,
a method that can simulate multi-component and multi-phase soft matter systems in a much
faster time (about 4–7 times) than MD. In this study, a DPPC lipid bilayer is chosen to provide
evidence for the validity of this approach and various properties are compared to highlight the
potential of the method. Thus, we anticipate that our study opens new possibilities for faster
simulations of a wide range of soft matter systems by using the MDPD method
*This research has been supported by the National Science Centre, Poland, under Grant No.2019/34/E/ST3/00232. We gratefully acknowledge Polish high-performance computinginfrastructure PLGrid (HPC Centers: ACK Cyfronet AGH) for providing computer facilities andsupport within computational Grant No. PLG/2022/015747.
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