Toward a physics-guided machine learning approach for predicting chaotic systems dynamics
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Predicting the dynamics of chaotic systems is crucial across various practical domains, including the control of infectious diseases and responses to extreme weather events. Such predictions provide quantitative insights into the future behaviors of these comp... ...
