Pages that link to "Item:Q2021984"
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The following pages link to Diffusion maps-aided neural networks for the solution of parametrized PDEs (Q2021984):
Displaying 10 items.
- Automated design parameter selection for neural networks solving coupled partial differential equations with discontinuities (Q388540) (← links)
- Derivative-informed projected neural networks for high-dimensional parametric maps governed by PDEs (Q2060092) (← links)
- Meta-mgnet: meta multigrid networks for solving parameterized partial differential equations (Q2133752) (← links)
- Learning high-dimensional parametric maps via reduced basis adaptive residual networks (Q2679335) (← links)
- AI in computational mechanics and engineering sciences (Q2693415) (← links)
- Greedy training algorithms for neural networks and applications to PDEs (Q2699382) (← links)
- Grassmannian diffusion maps based surrogate modeling via geometric harmonics (Q6070089) (← links)
- Comparison of neural closure models for discretised PDEs (Q6104834) (← links)
- A method for computing inverse parametric PDE problems with random-weight neural networks (Q6107102) (← links)
- AI‐enhanced iterative solvers for accelerating the solution of large‐scale parametrized systems (Q6148519) (← links)
