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Video: Using HPC to Advance Water Desalination By Electrodialysis

Clara Druzgalski, Phd, Stanford University

Clara Druzgalski, Phd, Stanford University

In this video from the 2016 Stanford HPC Conference, Clara Druzgalski PhD, from Stanford University presents: Using HPC to Advance Water Desalination By Electrodialysis.

“Electrodialysis is a technology used for water purification in applications such as desalination for drinking water, waste water reuse, and demineralization. An electrodialysis system uses ion-selective membranes and applied electric fields to remove ions from aqueous electrolytes. High performance computing allows us to model the electrokinetic interactions that drive this process, providing insight on important underlying physics such as electroconvective chaos which has a significant effect on ionic transport and the prediction of mean quantities. Large scale simulations of this system provide a rich set of data enabling us to investigate phenomena such as the appearance of current density hotspots and the dominant spatial and temporal scales contributing to ionic transport through the membrane surface. In this talk I will discuss the development of the EKaos code: a parallel direct numerical simulation code for simulating chaotic electrokinetic transport. Results from large scale simulations using the EKaos code show qualitative agreement with experiments and improved quantitative prediction of statistical quantities.”

Clara Druzgalski recently defended her PhD in mechanical engineering at Stanford University. Her PhD research focuses on direct numerical simulation of electroconvective chaos near an ion-selective membrane. She is interested in high performance computing, computational fluid dynamics, numerical algorithms, and performance optimization for massively parallel computations.

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