Fourier-enhanced reduced-order surrogate modeling for uncertainty quantification in electric machine design

Documenti analoghi

• Multivariate Sensitivity Analysis of Electric Machine Efficiency Maps and Profiles Under Design Uncertainty
  di: Partovizadeh, Aylar, et al.
  Pubblicazione: (2025)
• Multivariate sensitivity-adaptive polynomial chaos expansion for high-dimensional surrogate modeling and uncertainty quantification
  di: Loukrezis, Dimitrios, et al.
  Pubblicazione: (2023)
• Maximum-Projection-Based Bayesian Optimization Utilizing Sensitivity Analysis for High-Efficiency Radial Turbine Design with Scarce Data
  di: Diehl, Eric, et al.
  Pubblicazione: (2026)
• Error Approximation and Bias Correction in Dynamic Problems using a Recurrent Neural Network/Finite Element Hybrid Model
  di: von Tresckow, Moritz, et al.
  Pubblicazione: (2023)
• A probabilistic reduced-order modeling framework for patient-specific cardio-mechanical analysis
  di: Willems, Robin, et al.
  Pubblicazione: (2024)