Pages that link to "Item:Q2236988"
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The following pages link to Data-driven identification of 2D partial differential equations using extracted physical features (Q2236988):
Displaying 8 items.
- Robust physics discovery via supervised and unsupervised pattern recognition using the Euler characteristic (Q2145118) (← links)
- Data-driven discovery of governing equations for transient heat transfer analysis (Q2147572) (← links)
- Variational system identification of the partial differential equations governing the physics of pattern-formation: inference under varying fidelity and noise (Q2173625) (← links)
- Data-driven discovery of PDEs in complex datasets (Q2214651) (← links)
- Identification of physical processes via combined data-driven and data-assimilation methods (Q2222261) (← links)
- Data-Driven Identification of Parametric Partial Differential Equations (Q5383204) (← links)
- Seq-SVF: an unsupervised data-driven method for automatically identifying hidden governing equations (Q6051370) (← links)
- Numerical solutions of boundary problems in partial differential equations: a deep learning framework with Green's function (Q6560698) (← links)
