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CTR Tea

Energy stable numerical schemes for simulating two-phase flows by solving Cahn-Hilliard Navier Stokes equations on adaptive octree meshes

Event Type: 
CTR Tea
Date and Time: 
Friday, November 5, 2021 - 4:15pm
Location: 
Building 300, Room 300
Speaker(s): 
Dr. Makrand Khanwale
Abstract: 

Developing accurate, stable, and thermodynamically consistent numerical methods to simulate two-phase flows is critical for many applications.

Coupling CFD with detailed chemistry for heterogeneous catalysis: application to methane valorization

Event Type: 
CTR Tea
Date and Time: 
Friday, September 24, 2021 - 4:15pm
Location: 
Bldg 530, Rm 127
Speaker(s): 
Dr. Laurien Vandewalle
Abstract: 

Many innovative catalytic technologies have been developed in the past decade as a response to the world’s rapidly growing demand for a more efficient and sustainable exploitation of energy and material resources.

Machine Learning for Turbulence

Event Type: 
CTR Tea
Date and Time: 
Friday, May 7, 2021 - 4:30pm
Location: 
Zoom
Speaker(s): 
Dr. Daniel Livescu
Abstract: 

This talk summarizes part of the work performed during our 3-year Laboratory Directed Research and Development - Directed Research (LDRD-DR) project, titled MachinE Learning for Turbulence (MELT).  Started in October 2018, the project partially covered ~10 staff members, 7 postdocs, several more

Modeling Turbulent Liquid/Gas Phase Interfaces using a dual-scale Large Eddy Simulation approach

Event Type: 
CTR Tea
Date and Time: 
Friday, April 23, 2021 - 4:30pm
Location: 
Zoom
Speaker(s): 
Prof. Marcus Herrmann
Abstract: 

While significant progress has been made in the past decade to predict atomization using detailed numerical simulations, these simulations come at significant computational cost since the range of scales that must be resolved typically exceeds those of a single phase turbulent flow significantly.

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