Pages that link to "Item:Q6049611"
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The following pages link to Neural Networks with Local Converging Inputs (NNLCI) for Solving Conservation Laws, Part I: 1D Problems (Q6049611):
Displaying 8 items.
- Constraint-aware neural networks for Riemann problems (Q778316) (← links)
- A priori neural networks versus a posteriori MOOD loop: a high accurate 1D FV scheme testing bed (Q2007012) (← links)
- Conservative physics-informed neural networks on discrete domains for conservation laws: applications to forward and inverse problems (Q2184334) (← links)
- Least-squares ReLU neural network (LSNN) method for scalar nonlinear hyperbolic conservation law (Q2668055) (← links)
- Neural Networks with Local Converging Inputs (NNLCI) for Solving Conservation Laws, Part II: 2D Problems (Q6143616) (← links)
- Least-squares neural network (LSNN) method for scalar nonlinear hyperbolic conservation laws: discrete divergence operator (Q6175199) (← links)
- Discontinuity computing using physics-informed neural networks (Q6184289) (← links)
- A data-driven reconstruction for unstructured finite volume method on multi-dimensional compressible flows (Q6670113) (← links)
