Tag: Physics-informed learning

Electromagnetics

A physics-informed deep learning framework performs single-snapshot 3D phase-only positioning in narrowband phase-coherent distributed MIMO networks under two-ray electromagnetic propagation.

CFD

Proposes PITT methodology combining symbolic equation tokenization with Fourier neural operator encoder to solve nonlinear hyperbolic balance laws for relativistic Schwarzschild-Burgers fluid flows with shock waves.