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Dimitrios V. Papavassiliou

Dimitrios Papavassiliou 2

C.M. Sliepcevic Professor

Ph.D. Chemical Engineering (1996)

University of Illinois at Urbana-Champaign
M.S. Chemical Engineering (1993)
University of Illinois at Urbana-Champaign(1993)
Diploma, Chemical Engineering (1989)
Aristotle University of Thessaloniki

National Science Foundation, Fluid Dynamics Program Director, 2013-2016
The University of Oklahoma School of Chemical, Biological and Materials Engineering, Associate Professor 2005-09
Assistant Professor, 1999-05
Mobil Technology Company Upstream Strategic Research Center Senior Research Engineer, 1998-99; Postdoctoral Research Associate, 1996-98
Chemical Process Engineering Research Institute Thessaloniki, Greece, Graduate Research Fellow, 1989-90.

(405) 325-0574
F:(405) 325-5813 

Computational Transport Processes Webpage

The focus of my research is on the fundamental understanding and modeling of transport processes with industrial and environmental interest. Novel computational methods are developed and applied to explore turbulent transport of mass and heat, flow and mass transfer in bioreactors, heat transfer in micro- and nano-fluidics, and flow and transport through porous media.

Numerical experiments are conducted in a virtual laboratory. Our methods provide excellent measurements for turbulent channel and plane Couette flow, we can measure heat and mass transfer in these channels and we can monitor the trajectories of hundreds of thousands of particles. Our Lagrangian scalar tracking (LST) methodology is used to investigate flow effects on the progress of chemical reactions, to study the transport of nutrients in porous scaffolds used for bone tissue growth, and to explore the thermal properties of carbon nanotube composite materials. We are also employing multiscale methods for transport through porous materials. We use Dissipative Particle Dynamics to investigate nanofluids and their rheological behavior and surface-nanoparticle interactions. In each case, the flow is simulated using appropriate methods for each important physical scale. High End Computers are utilized to conduct the numerical experiments and to interpret the data. Parallel to the development of prototype software, off-the-shelf software is used to predict flows that can improve industrially important process, such as melt-blowing, or can predict hemodynamics, such as blood flow in the human vascular system and hemolysis.

Selected Publications

Vo, M., and D.V. Papavassiliou, “The effects of shear and particle shape on the physical adsorption of polyvinyl pyrrolidone on carbon nanoparticles" Nanotechnology, 27(32), Art 325709, 2016

Pham, N.H., Chen, C., Shiau, B., Harwell, J.H., Resasco, D.E., and D.V. Papavassiliou, “Transport and deposition kinetics of polymer-coated multiwalled carbon nanotubes in packed beds,” AIChE J. 26(10), 3774-3783, 2016

Vo, M., and D.V. Papavassiliou, “Physical adsorption of PVP Polyvinyl Pyrrolidonepolymer on CNTs Carbon Nanotubes under shear studied with Dissipative Particle Dynamics simulations,” Carbon, 100, 291-301, 2016

Gong, F., Duong, H.M. and D.V.  Papavassiliou “Review of recent developments on using an Off-lattice Monte Carlo  approach to predict the effective thermal conductivity of composite systems  with complex structures,” Nanomaterials, 6(8), Art 142, 14 pages, 2016

Vo, M., Shiau, B., Harwell, J.H., and D.V. Papavassiliou, “Adsorption of anionic and non-ionic surfactants on Carbon nanotubes in water with Dissipative Particle Dynamics simulation,” Journal of Chemical Physics, 144 (20), Art. 204701 (16 pages), 2016

Nguyen, Q., Srinivasan, C., and D.V. Papavassiliou, “Flow induced separation in wall turbulence”, Phys Rev E91, 033019, 2015

Gong, F., K., Papavassiliou, D.V., and H.M. Duong, “Thermal transport phenomena and limitations in heterogeneous polymer nanocomposites containing Carbon Nanotubes and inorganic nanoparticles,” J. Phys. Chemistry C, 119(14), 7614-7620, 2015

Ozturk, M.,O’Rear, E.A., and D.V. Papavassiliou, “Hemolysis related to turbulent eddy size distributions using comparisons of experiments to computations,” Artificial Organs39(12), E213-E226,  2015

Gong, F., Bui, K., Papavassiliou, D.V., and H.M. Duong, “Thermal transport phenomena and limitations in heterogeneous polymer nanocomposites containing Carbon Nanotubes and inorganic nanoparticles,” Carbon, 78, 305-316, 2014

Pham, N., Voronov,R.S., Tummala,N.R. and D.V. Papavassiliou, “Bulk stress distributions in the pore space of sphere-packed beds under Darcy flow conditions,” Phys. Rev. E, 89(3), Art 033016 (13 pages), 2014

Pham, N., Swatske, D.E., Harwell, J.H., Shiau, B.-J., and D.V. Papavassiliou, “Transport of nanoparticles and kinetics in packed beds:A numerical approach with lattice Boltzmann simulations and particle tracking,” Int. J. Heat and Mass Transfer72, 319-328, 2014

Nguyen, Q.T., and D.V. Papavassiliou, “Turbulent plane Poiseuille-Couette flow as a model for fluid slip over superhydrophobic surfaces,” Phys. Rev. E88 (6), 063015 (11 pages), 2013

Srinivasan, C., and D.V. Papavassiliou, “Heat transfer scaling for wall bounded turbulent flows,” Applied Mechanics Reviews, 65(3), Art. 031002 (20 pages), 2013

Srinivasan, C., and D.V. Papavassiliou, “Direction of scalar transport in turbulent channel flow,” Physics of Fluids, 23(11), 115105, 21 pages, 2011

Ho, T.A., Papavassiliou, D.V., Lee, L.L., and A. Striolo, “Liquid Water Can Slip on Hydrophilic Surfaces” Proceedings of the National Academy of Sciences of the USA  108(39), 16170-16175, 2011

Voronov, R., Papavassiliou, D.V., and L.L. Lee, “A review of fluid slip over superhydrophobic surfaces and its dependence on contact angle,” Ind. Eng. Chem. Res., 47(8), 2455-2477, 2008.

Mitrovic, B.M., Le, P.M., and D.V. Papavassiliou, “On the Prandtl or Schmidt number dependence of the turbulence heat or mass transfer coefficient,” Chem. Eng. Sci., 59(3), 543-555, 2004

Areas of Research / Energy and Chemicals / Facilities

Campus facilities:

Several Linux clusters available through the OU Center for Supercomputing Education and Research 

Off-Campus facilities:

XSEDE allocations (http:// National Center for Supercomputing Applications computing accounts (, and Texas Advanced computing center accounts (