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20222024
most citedWeak baselines and reporting biases lead to overoptimism in machine learning for fluid-related partial differential equations

102 citations · 105 across the 3 of their papers we have counts for

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math.NA2023★ 2 cited

Invariant preservation in machine learned PDE solvers via error correction

Nick McGreivy, Ammar Hakim

Machine learned partial differential equation (PDE) solvers trade the reliability of standard numerical methods for potential gains in accuracy and/or speed. The only way for a sol…