Abstract
1 Computational Transport Phenomena Laboratory (CTPL), Division of Physical Sciences and Engineering (PSE), King Abdullah University of Science and Technology (KAUST), Thuwal 23955-6900, Saudi Arabia 2 Department of Mathematical Sciences, Clemson University, Clemson, SC 29634-0975, USA 3 Schulich School of Engineering, University of Calgary, 2500 University Drive NW, Calgary, AB, Canada T2N 1N4 4 Department of Mathematics, Humboldt-University of Berlin, Unter den Linden 6, 10099 Berlin, Germany
Highlights
Most processes in natural and engineered systems inherently involve flow and transport
Efficient numerical algorithms, new mathematical formulations, and advanced computational techniques are required if researchers are to take full advantage of this progress and address new and existing challenges in flow and transport modeling and simulation
The progress in understanding flow and transport and their interaction with other physical, chemical, biological, and sociological processes is strongly dependent on adequacy, accuracy, and efficiency of numerical modeling and simulation
Summary
Most processes in natural and engineered systems inherently involve flow and transport. As a result of its importance in a variety of problems of interest, accurate and efficient numerical modeling of flow and transport is essential. Spectacular advances in computer performance and emerging technologies of parallel distributed grids and GPU computing have provided flow and transport modelers with tools to simulate and study complex phenomena.
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