3 papers
physics.flu-dyn2025
Computational Aerothermal Framework and Analysis of Stetson Mach 6 Blunt Cone
Arturo Rodriguez, Piyush Kumar, Cesar Diaz-Caraveo +4
Accurately predicting aerothermal behavior is paramount for the effective design of hypersonic vehicles, as aerodynamic heating plays a pivotal role in influencing performance metr…
cs.LG2024
Partition of Unity Physics-Informed Neural Networks (POU-PINNs): An Unsupervised Framework for Physics-Informed Domain Decomposition and Mixtures of Experts
Arturo Rodriguez, Ashesh Chattopadhyay, Piyush Kumar +2
Physics-informed neural networks (PINNs) commonly address ill-posed inverse problems by uncovering unknown physics. This study presents a novel unsupervised learning framework that…
physics.flu-dyn2024
Designing an Optimal Scoop for Holloman High-Speed Test Track Water Braking Mechanism using Computational Fluid Dynamics
Jose A. Terrazas, Piyush Kumar, Arturo Rodriguez +3
Specializing in high-speed testing, Holloman High-Speed Test Track (HHSTT) uses water braking to stop vehicles on the test track. This method takes advantage of the higher density…