Research problem
High-fidelity CFD is computationally expensive, while learned surrogates must preserve multiscale flow structure.
PIBERT
Physics-informed spectral and transformer learning for multiscale CFD surrogate modeling.
Main contributions
Hybrid spectral representations, transformer learning, physics-informed objectives, and evaluation on PDE and CFD benchmarks.