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CTR Tea

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 - 4:30am
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.

At last, Turbulence closure modeling minus tuning parameters!

Event Type: 
CTR Tea
Date and Time: 
Friday, January 22, 2021 - 4:30am
Location: 
Zoom
Speaker(s): 
Prof. Parviz Moin
Abstract: 

In the immediate aftermath of the 1990 Summer Program, there was a flurry of activities at CTR seeking to exploit the dynamic modeling concept in canonical turbulent flows which heretofore had challenged the universality of turbulence models.

A model is born

Event Type: 
CTR Tea
Date and Time: 
Friday, January 15, 2021 - 4:30pm
Location: 
Zoom
Speaker(s): 
Prof. Ugo Piomelli
Abstract: 

It was a sunny morning in July 1990, the first week of the CTR Summer Program, Massimo Germano, Parviz Moin, Bill Cabot and Ugo Piomelli met to discuss the possible uses of an identity that Massimo Germano had recently derived.

Flow and Ignition Dynamics Following Laser-induced Breakdowns

Event Type: 
CTR Tea
Date and Time: 
Friday, November 20, 2020 - 4:30pm
Location: 
Zoom
Speaker(s): 
Dr. Jonathan Wang
Abstract: 

Laser-induced breakdown is a versatile means of depositing energy in a fluid and a promising alternative to conventional electrode-spark ignition for combustion systems.  Using numerical simulations we analyze the flow dynamics following the laser pulse and show that it is sensitive to even subtl

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