#Texas A&M research'22/06/2025
ShockCast: A Novel Two-Phase Machine Learning Approach for Adaptive High-Speed Flow Simulation
Texas A&M researchers developed ShockCast, a two-phase machine learning approach that adaptively predicts timesteps to improve high-speed fluid flow simulations with neural networks.