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Operator Inference and Physics-Informed Learning of Low-Dimensional
  Models for Incompressible Flows

Operator Inference and Physics-Informed Learning of Low-Dimensional Models for Incompressible Flows

13 October 2020
P. Benner
P. Goyal
Jan Heiland
I. P. Duff
    AI4CE
ArXivPDFHTML

Papers citing "Operator Inference and Physics-Informed Learning of Low-Dimensional Models for Incompressible Flows"

3 / 3 papers shown
Title
Learning reduced-order Quadratic-Linear models in Process Engineering
  using Operator Inference
Learning reduced-order Quadratic-Linear models in Process Engineering using Operator Inference
I. V. Gosea
Luisa Peterson
P. Goyal
J. Bremer
Kai Sundmacher
Peter Benner
AI4CE
19
1
0
27 Feb 2024
Rank-Minimizing and Structured Model Inference
Rank-Minimizing and Structured Model Inference
P. Goyal
Benjamin Peherstorfer
P. Benner
16
1
0
19 Feb 2023
Physics-informed regularization and structure preservation for learning
  stable reduced models from data with operator inference
Physics-informed regularization and structure preservation for learning stable reduced models from data with operator inference
N. Sawant
Boris Kramer
Benjamin Peherstorfer
AI4CE
27
28
0
06 Jul 2021
1