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Found 2 papers, 1 papers with code
RefreshNet: Learning Multiscale Dynamics through Hierarchical Refreshing
Forecasting complex system dynamics, particularly for long-term predictions, is persistently hindered by error accumulation and computational burdens.
Hierarchical deep learning-based adaptive time-stepping scheme for multiscale simulations
Multiscale is a hallmark feature of complex nonlinear systems.
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