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20122022
most citedA Novel Model Order Reduction Approach for Navier-Stokes Equations at High Reynolds Number

210 citations · 517 across the 10 of their papers we have counts for

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Showing 2022 · cs.LGShow all

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cs.LG2022★ 49 cited

Lagrangian PINNs: A causality-conforming solution to failure modes of physics-informed neural networks

Rambod Mojgani, Maciej Balajewicz, Pedram Hassanzadeh

Physics-informed neural networks (PINNs) leverage neural-networks to find the solutions of partial differential equation (PDE)-constrained optimization problems with initial condit…