Internship: Machine learning techniques for divergence-free field reconstruction
King Abdullah University of Science and Technology (KAUST)
Saudi Arabia
Summary
Develop and evaluate neural-network methods to reconstruct divergence-free flows from sparse, noisy measurements. Leverage diverse architectures, spectral analysis, and improved training strategies to boost fidelity, validate on benchmark problems, and benchmark against existing methods.
