fluid dynamics

Katerina Nik

Assistant Professor, Applied Mathematics and Computational Sciences

Applied Partial Differential Equations free boundary problems fluid dynamics

Professor Nik studies partial differential equations that describe phenomena in biological growth processes, fluid dynamics, and mechanical engineering.

Cohomology in fluids

Prof.Albert Chern

Mar 13, 11:15 - 12:15

B4 L5 R5209

fluids cohomology fluid dynamics Geometry geometry processing

We present a topological analysis of the vorticity formulation in describing fluid dynamics. Despite its widespread use in fluid mechanics, this formulation is insufficient at describing fluid dynamics on a non-simply-connected domain. What is missing is an equation of motion for fluid's cohomology component, which exhibits fascinating dynamics previously under explored. Using geometric language, we derive the new equation of motion and establish new conservation laws, as Casimir invariants in Hamiltonian mechanics, for fluids on domains with general topology. Significantly, we present the first physically correct vortex method on curved surfaces with genus and boundaries.

Harnessing the particle-tracking power of the algorithm

1 min read · Wed, Aug 25 2021

fluid dynamics visual computing algorithms Computer science

A simple camera system paired with a sophisticated image-processing algorithm can achieve faster and more accurate reconstructions of particle flow.

KAUST-CEMSE-Matteo-Parsani

Matteo Parsani

Associate Professor, Applied Mathematics and Computational Sciences

Structure-Preserving Algorithms fluid dynamics High Performance Computing Numerical Optimization aeroacoustics

Professor Parsani develops robust, variable order and self-adaptive algorithms for solving fluid flow problems in complex geometries. The application domains currently driving Parsani's research are compressible computational aerodynamics, computational aeroacoustics for noise reduction in vehicles and molecular communication.

Lisandro Dalcin

Research Scientist, Hierarchical Computations on Manycore Architectures

petsc High Performance Computing fluid dynamics

Lisandro Dalcin obtained a degree in Electromechanical Engineering from National Technological University, Concepción del Uruguay, Argentina in 2001 and a PhD degree in Engineering Sciences, Computational Mechanics from National University of the Littoral, Santa Fe, Argentina in 2008. Research Interest Lisandro Dalcin's research interest include Parallel and High Performance Computing, Scientific Software Development, Finite Element Methods and Computational Fluid Dynamics. Education Profile PhD in Engineering Sciences, Computational Mechanics, National University of the Littoral, Santa