191 citations · 694 across the 41 of their papers we have counts for
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math.NA2026
Structure-Informed Data-Driven Reduced-Order Modeling of Scalar Hyperbolic Conservation Laws via Kinetic Defect Measure
Marissa Llamas, Jan Fuhg, Hannah Lu
Reduced-order modeling of transport-dominated systems remains challenging because moving fronts and shocks are poorly represented by low-dimensional linear subspaces. We develop a…
math.NA2021
Interval and fuzzy physics-informed neural networks for uncertain fields
Jan Niklas Fuhg, Ioannis Kalogeris, Amélie Fau +1
Temporally and spatially dependent uncertain parameters are regularly encountered in engineering applications. Commonly these uncertainties are accounted for using random fields an…