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Found 2 papers, 1 papers with code
A Model-Constrained Tangent Slope Learning Approach for Dynamical Systems
Real-time accurate solutions of large-scale complex dynamical systems are in critical need for control, optimization, uncertainty quantification, and decision-making in practical engineering and science applications, especially digital twin applications.
TNet: A Model-Constrained Tikhonov Network Approach for Inverse Problems
This is the strength of DL but also one of its key limitations when applied to science and engineering problems in which underlying physical properties and desired accuracy need to be achieved.
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