We are pleased to invite you to the Skoltech Colloquium!
When: April 3; 4:00pm.
Where: Institute of Gene Biology RAS, Vavilova street 34/5, Conference room, 1st floor.
What: Multiscale modelling based on physical analogies: from aeroacoustics to microfluidics
Guest Speaker: Sergey Karabasov is a Senior Lecturer in Modelling and Simulation in School of Engineering and Materials Science Queen Mary University of London and a Royal Society University Research Fellow. Over the years, his research into the modelling of sound generated by aerodynamic flows has been supported by the leading UK industry such as Rolls-Royce, and also by the Engineering and Physical Sciences Research Council UK and the Royal Society of London. Internationally, his research into the modelling of sound generated by jet turbulence in collaboration with Ohio Aerospace Institute and NASA Glen is supported by Aero Acoustics Research Consortium (AARC). His other research interests include computational hydrodynamics for ocean modelling, multiscale methods for bridging computational fluid dynamics with atomistic simulations, and supercomputing. He is one of the developers of the high-resolution CABARET method. In 2013, CABARET and NAG were announced to be Winners of Sixth HPC Innovation Excellence Awards. Sergey holds a Full Doctorate of Science from Moscow Institute for Mathematical Modelling of the Russian Academy of Science. He is a Senior Member of American Institute of Astronautics and Aeronautics, Member of the Aeroacoustic Section of the Physical Acoustics Panel of the Russian Academy of Science, Member of the Royal Society Panel of Physical Sciences and a Guest Editor of the Royal Society PhilTrans A special issue “Multiscale systems in fluids and soft matter: approaches, numerics, and applications” which will be published in August 2014.
Abstract: Multiscale problems, which solution requires multiscale methods, are encountered in many areas of applied science and engineering. One important ingredient of such methods is a technique for consistently coupling large scales with small scales in space and time that may differ by many orders of magnitudes within the same computational framework. The so-called acyclic techniques, where the information is exchanged one way only, e.g., from small scales to large scales, have been found efficient in a number of cases. An example of acyclic approach can be found in prediction schemes for noise generated by aerodynamic flows. In application to jet noise modelling for instance, the acyclic approach is used to link small-scale turbulence with large-scale acoustic waves in the framework of acoustic analogy. In other situations, where there is a considerable overlap between the small and the large scales, fully coupled (cyclic) approaches are required. For example, this is the case when the delivery of macromolecules (e.g. proteins) in microfluidic devices needs to be controlled by hydrodynamic shear and pressure gradient and when continuum hydrodynamics modelling and atomistic simulations must be performed concurrently. The cyclic approach we have developed for this kind of applications is based on a hydrodynamic analogy with two-phase flows. One ‘phase’ of the model is based on a continuum fluid dynamics model (Landau-Lifshitz Fluctuating Hydrodynamics equations) and the other one is based on pure atomistic representation (classical molecular dynamics). The ‘phases’ are coupled with preservation of macroscopic conservation laws. The interaction is governed by a numerical ‘zoom-in’ parameter to allow for a fully atomistic representation in the region of interest and a continuum representation where atomistic details are unnecessary. Examples of numerical implementation of the new coupling framework will be provided for the simulation of liquid argon (Leonnard-Jones potential) and water (Ben-Naim’s Mercedes Benz 2D water model).
Transfers:
Shuttle bus Hypercube → Institute of Gene Biology RAS at 3:10 pm
Shuttle bus MSM (Karacorum) → Institute of Gene Biology RAS at 3:20 pm
How to get to Institute of Gene Biology RAS:
Address: Vavilova street 34/5 (ул. Вавилова 34/5)
Map: http://www.genebiology.ru/institute/way.shtml
Join us on Facebook: https://www.facebook.com/pages/Skoltech-Colloquium/667982569920574
Past schedule and video: https://www.skoltech.ru/en/colloquium/past-schedule/
If you like to participate and for further information or questions, please Liliya Abaimova
We look forward to seeing you.
