research
∙
07/20/2023
Accurate error estimation for model reduction of nonlinear dynamical systems via data-enhanced error closure
Accurate error estimation is crucial in model order reduction, both to o...
share
research
∙
06/09/2023
Active-Learning-Driven Surrogate Modeling for Efficient Simulation of Parametric Nonlinear Systems
When repeated evaluations for varying parameter configurations of a high...
research
∙
05/10/2023
Parametric Dynamic Mode Decomposition for nonlinear parametric dynamical systems
A non-intrusive model order reduction (MOR) method that combines feature...
research
∙
01/13/2023
Multi-fidelity error estimation accelerates greedy model reduction of complex dynamical systems
Model order reduction usually consists of two stages: the offline stage ...
research
∙
10/12/2021
Fast A Posteriori State Error Estimation for Reliable Frequency Sweeping in Microwave Circuits via the Reduced-Basis Method
We develop a compact, reliable model order reduction approach for fast f...
research
∙
04/26/2021
Inf-Sup-Constant-Free State Error Estimator for Model Order Reduction of Parametric Systems in Electromagnetics
A reliable model order reduction process for parametric analysis in elec...
research
∙
03/15/2021
A FOM/ROM Hybrid Approach for Accelerating Numerical Simulations
The basis generation in reduced order modeling usually requires multiple...
research
∙
03/10/2021
A Training Set Subsampling Strategy for the Reduced Basis Method
We present a subsampling strategy for the offline stage of the Reduced B...
research
∙
02/27/2021
Reduced basis method for the nonlinear Poisson-Boltzmann equation regularized by the range-separated canonical tensor format
The Poisson-Boltzmann equation (PBE) is a fundamental implicit solvent c...
research
∙
03/31/2020
On Error Estimation for Reduced-order Modeling of Linear Non-parametric and Parametric Systems
Motivated by a recently proposed error estimator for the transfer functi...
research
∙
03/05/2020
Adaptive Interpolatory MOR by Learning the Error Estimator in the Parameter Domain
Interpolatory methods offer a powerful framework for generating reduced-...
research
∙
11/13/2019
Adaptive Basis Construction and Improved Error Estimation for Parametric Nonlinear Dynamical Systems
An adaptive scheme to generate reduced-order models for parametric nonli...
research
∙
10/01/2019
An Adaptive Sampling Approach for the Reduced Basis Method
The offline time of the reduced basis method can be very long given a la...
research
∙
08/02/2019
