458 citations · 1.4k across the 32 of their papers we have counts for
3 papers · 1 filter
Enhancing Dynamical System Modeling through Interpretable Machine Learning Augmentations: A Case Study in Cathodic Electrophoretic Deposition
Christian Jacobsen, Jiayuan Dong, Mehdi Khalloufi +4
We introduce a comprehensive data-driven framework aimed at enhancing the modeling of physical systems, employing inference techniques and machine learning enhancements. As a demon…
A Perspective on Regression and Bayesian Approaches for System Identification of Pattern Formation Dynamics
Zhenlin Wang, Bowei Wu, Krishna Garikipati +1
We present two approaches to system identification, i.e. the identification of partial differential equations (PDEs) from measurement data. The first is a regression-based Variatio…
Variational system identification of the partial differential equations governing pattern-forming physics: Inference under varying fidelity and noise
Zhenlin Wang, Xun Huan, Krishna Garikipati
We present a contribution to the field of system identification of partial differential equations (PDEs), with emphasis on discerning between competing mathematical models of patte…