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06/08/2023
Learning Closed-form Equations for Subgrid-scale Closures from High-fidelity Data: Promises and Challenges
There is growing interest in discovering interpretable, closed-form equa...
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05/05/2022
Lagrangian PINNs: A causality-conforming solution to failure modes of physics-informed neural networks
Physics-informed neural networks (PINNs) leverage neural-networks to fin...
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10/01/2021
Closed-form discovery of structural errors in models of chaotic systems by integrating Bayesian sparse regression and data assimilation
Models used for many important engineering and natural systems are imper...
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06/28/2020
