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Projects / Programmes source: ARIS

Multiscale simulations of fluid flows in nanomaterials

Research activity

Code Science Field Subfield
1.07.00  Natural sciences and mathematics  Computer intensive methods and applications   

Code Science Field
1.01  Natural Sciences  Mathematics 
Keywords
multiscale simulations, open molecular systems, fluid flows, nanomaterials
Evaluation (metodology)
source: COBISS
Organisations (2) , Researchers (14)
0104  National Institute of Chemistry
no. Code Name and surname Research area Role Period No. of publicationsNo. of publications
1.  54539  PhD Amaury Coste  Computer intensive methods and applications  Researcher  2021 - 2024 
2.  54675  PhD Aljaž Draškovič-Bračun  Physics  Young researcher  2021 - 2024 
3.  13627  PhD Franci Merzel  Computer intensive methods and applications  Researcher  2022 - 2024  234 
4.  54623  Nikolaos Ntarakas    Technical associate  2021 - 2024 
5.  52000  PhD Petra Papež  Computer intensive methods and applications  Researcher  2021 - 2024  14 
6.  54019  PhD Tilen Potisk  Computer intensive methods and applications  Researcher  2021 - 2024  52 
7.  19037  PhD Matej Praprotnik  Computer intensive methods and applications  Head  2021 - 2024  340 
8.  35381  PhD Jurij Sablić  Computer intensive methods and applications  Researcher  2021 - 2024  29 
9.  54913  Neli Sedej  Computer intensive methods and applications  Researcher  2022 - 2024 
10.  53609  Ema Slejko  Computer intensive methods and applications  Young researcher  2021 - 2023 
11.  55057  PhD Jaka Sočan  Computer intensive methods and applications  Researcher  2021 - 2024  10 
12.  19136  PhD Daniel Svenšek  Physics  Researcher  2021 - 2024  212 
1554  University of Ljubljana, Faculty of Mathematics and Physics
no. Code Name and surname Research area Role Period No. of publicationsNo. of publications
1.  33197  PhD Simon Čopar  Physics  Researcher  2021 - 2024  183 
2.  17046  PhD Gregor Skačej  Physics  Researcher  2021 - 2024  118 
Abstract
The project will be concerned with the development of multiscale modeling techniques for simulations of fluid flows in nanomaterials. Computer simulations can provide insight into such systems when they can access, both, the atomistic length scales associated with size of the nanoparticles and the micro/macro scales characteristic of the fluid flow field. Simulations using molecular dynamics can capture the atomistic details of the nanoparticle- liquid interface but due to their computational cost they cannot be extended currently to the macroscale regime of the full flow field. In turn, continuum descriptions, using the Navier- Stokes equations may capture the macro-scale behavior of the fluid flow but they fail to represent accurately the flow field at the nanoparticle surface. The multiscale approaches, on the other hand, combine the powerful features of the both descriptions, i.e., the ability to describe the macro-scale behavior of the flow as well as accurate boundary conditions around nanoparticles. Another issue to consider when studying these systems is that typical experimental setups for molecular systems are coupled to the external environment, that is, the system is open and exchanges mass, momentum, and energy with its surroundings. Instead, standard molecular simulations are mostly performed using periodic boundary conditions with a constant number of molecules. Therefore, it is essential to develop open simulation methodologies, which, contrary to standard techniques, open up the boundaries of a molecular system and allow for exchange of energy and matter with the environment, in and out of equilibrium. The aim of the project is to combine diverse simulation techniques that separately model effectively either atomistic, mesoscale, or continuum scales of nanomaterials in a unifed multiscale framework. We will conduct multiscale simulations of the water flow through carbon-nanotubes membranes and the flow of several organic solvents, such as liquid butane, hexane, decane, and benzene, past thiolated golden nanoparticles. To this end, we will develop and employ an open molecular dynamics technique, which will enable us to perform equilibrium molecular dynamics simulations in the grand-canonical ensemble, exchanging particles with the surrounding, as well as nonequilibrium fluid flow simulations. The flow will be introduced via an external boundary condition while the equations of motion for the bulk will remain unaltered. Using this methodology we will also study the rotational and tumbling dynamics of the melt of star polymers under shear flow. Furthermore, in this project, we will study the conformational changes of proteins exposed to the shear flow. Our open multiscale approaches will bridge the hydrodynamics from the atomic to mesoscopic scale and enable the study of physical phenomena that are beyond the scope of either atomistic or mesoscopic simulations.
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