Bakytzhan Kallemov

Learn More
We develop an immersed boundary (IB) method for modeling flows around fixed or moving rigid bodies that is suitable for a broad range of Reynolds numbers, including steady Stokes flow. The spatio-temporal discretization of the fluid equations is based on a standard staggered-grid approach. Fluid-body interaction is handled using Peskin's IB method; however,(More)
Florencio Balboa Usabiaga, Bakytzhan Kallemov, 2 Blaise Delmotte, Amneet Pal Singh Bhalla, Boyce E. Griffith, 4 and Aleksandar Donev ∗ 1Courant Institute of Mathematical Sciences, New York University, New York, NY 10012 2Energy Geosciences Division, Lawrence Berkeley National Laboratory, Berkeley, CA, 94720 3Department of Mathematics, University of North(More)
This article may be used for research, teaching and private study purposes. Any substantial or systematic reproduction, redistribution , reselling , loan or sub-licensing, systematic supply or distribution in any form to anyone is expressly forbidden. The publisher does not give any warranty express or implied or make any representation that the contents(More)
We present simulation results from a computational model of polymer flow in microfluidic devices. This work is important because computational models are needed to design miniaturized biomedical devices which leverage microfluidics technology for many significant applications including pathogen detection as well as continuous monitoring and drug delivery(More)
We present a new algorithm for the simulation of polymer-laden flows in microscale environments. Our algorithm is based on a hybridisation of high-order accurate continuum and particle methods. The continuum algorithm provides the basic framework for high-performance computations to resolve device length and time scales. It is coupled to a new particle(More)
with holonomic constraints B. Kallemov, G.H. Miller*, S. Mitran and D. Trebotich Center for Energy Research, Nazarbayev University, Astana, Kazakhstan; Department of Chemical Engineering and Materials Science, University of California, Davis, CA 95616, USA; Department of Mathematics, University of North Carolina, Chapel Hill, NC 27599, USA; Computational(More)
  • 1