Use of Neural Networks to Study Gas Dynamics

#computational #intelligence #SEM, #neural #net #gas #dynamics #modeling
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Presentation of modeling findings and results utilizing Neural Networks, to study gas dynamics.



  Date and Time

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  • Date: 24 Oct 2024
  • Time: 12:00 PM to 01:00 PM
  • All times are (UTC-04:00) Eastern Time (US & Canada)
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  • Co-sponsored by Ben Gonzalez
  • Starts 17 October 2024 12:00 AM
  • Ends 24 October 2024 12:00 AM
  • All times are (UTC-04:00) Eastern Time (US & Canada)
  • No Admission Charge


  Speakers

Nick of U,S, Army Futures Command

Topic:

Modeling of Gas Dynamics Using Neural Networks

Presentation of on-going research for modeling of gas dynamics relevant to ICE using neural networks. 

Biography:

Bio:

Nicholas Krupansky is an engineer in the SE Directorate at the US Army Futures Command - Ground Vehicle System Center (GVSC) in Warren, Michigan. Currently he is a student in the Applied Mathematics doctoral program at Michigan State University as DoD SMART Scholar (retention), focusing on numerical methods for transport and deep learning. He holds an MS in Applied and Computational Mathematics and BSE, cum laude, in Nuclear Engineering and Radiological Sciences from the University of Michigan, Dearborn and Ann Arbor respectively. Prior to  working at GVSC, he was a strategy consultant at Newry Corp and a nuclear engineer at the Naval Nuclear Propulsion Program - Knolls Atomic Power Laboratory.

 

Email:

Address:United States





Agenda

12:00 Welcome and Introduction of our Speaker

12:05 Begin Presentation

12:50 Q & A

1:00 End Session