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2203.05164
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Discrepancy Modeling Framework: Learning missing physics, modeling systematic residuals, and disambiguating between deterministic and random effects
10 March 2022
Megan R. Ebers
K. Steele
J. Nathan Kutz
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Papers citing
"Discrepancy Modeling Framework: Learning missing physics, modeling systematic residuals, and disambiguating between deterministic and random effects"
6 / 6 papers shown
Title
Deep learning for model correction of dynamical systems with data scarcity
Caroline Tatsuoka
Dongbin Xiu
18
0
0
23 Oct 2024
Structural Constraints for Physics-augmented Learning
Simon Kuang
Xinfan Lin
PINN
26
0
0
07 Oct 2024
Response Estimation and System Identification of Dynamical Systems via Physics-Informed Neural Networks
M. Haywood-Alexander
Giacamo Arcieri
A. Kamariotis
Eleni Chatzi
21
1
0
02 Oct 2024
Correcting model misspecification in physics-informed neural networks (PINNs)
Zongren Zou
Xuhui Meng
George Karniadakis
PINN
16
40
0
16 Oct 2023
Low-dimensional Data-based Surrogate Model of a Continuum-mechanical Musculoskeletal System Based on Non-intrusive Model Order Reduction
Jonas Kneifl
D. Rosin
Oliver Röhrle
Jörg Fehr
AI4CE
19
13
0
13 Feb 2023
Auto-differentiable Ensemble Kalman Filters
Yuming Chen
D. Sanz-Alonso
Rebecca Willett
32
33
0
16 Jul 2021
1