Use of Neural Networks to Study Gas Dynamics
Presentation of modeling findings and results utilizing Neural Networks, to study gas dynamics.
Date and Time
Location
Hosts
Registration
- 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
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