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03/15/2023
A Multifidelity deep operator network approach to closure for multiscale systems
Projection-based reduced order models (PROMs) have shown promise in repr...
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01/19/2023
PyOED: An Extensible Suite for Data Assimilation and Model-Constrained Optimal Design of Experiments
This paper describes the first version (v1.0) of PyOED, a highly extensi...
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05/25/2022
Physics Guided Machine Learning for Variational Multiscale Reduced Order Modeling
We propose a new physics guided machine learning (PGML) paradigm that le...
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01/11/2022
Sketching Methods for Dynamic Mode Decomposition in Spherical Shallow Water Equations
Dynamic mode decomposition (DMD) is an emerging methodology that has rec...
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10/15/2021
Nonlinear proper orthogonal decomposition for convection-dominated flows
Autoencoder techniques find increasingly common use in reduced order mod...
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06/17/2020