2 papers
physics.flu-dyn2025
Effects of lower floating-point precision on scale-resolving numerical simulations of turbulence
Martin Karp, Ronith Stanly, Timofey Mukha +11
Modern computing clusters offer specialized hardware for reduced-precision arithmetic that can speed up the time to solution significantly. This is possible due to a decrease in da…
physics.flu-dyn2025
Extraction of Moment Closures for Strongly Non-Equilibrium Flows via Machine Learning
Hang Song, Satyvir Singh, Manuel Torrilhon +1
We introduce a machine learning framework for moment-equation modeling of rarefied gas flows, addressing strongly non-equilibrium conditions inaccessible to conventional computatio…