39 citations · 291 across the 31 of their papers we have counts for
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cs.CE2024★ 3 cited
Fourier-enhanced reduced-order surrogate modeling for uncertainty quantification in electric machine design
Aylar Partovizadeh, Sebastian Schöps, Dimitrios Loukrezis
This work proposes a data-driven surrogate modeling framework for cost-effectively inferring the torque of a permanent magnet synchronous machine under geometric design variations.…
stat.ML2024★ 5 cited
Polynomial Chaos Expansions on Principal Geodesic Grassmannian Submanifolds for Surrogate Modeling and Uncertainty Quantification
Dimitris G. Giovanis, Dimitrios Loukrezis, Ioannis G. Kevrekidis +1
In this work we introduce a manifold learning-based surrogate modeling framework for uncertainty quantification in high-dimensional stochastic systems. Our first goal is to perform…