Physics-based discovery of governing equations from scarce and noisy data
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Discovering the governing equations of physical systems from data is crucial for our deep understanding and effective modeling of such systems. In this paper, we propose a framework that integrates physics-informed neural networks (PINNs) with sparse regressio... ...
