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Numerical error estimation with physics informed neural network
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AI
DOI：10.1016/j.compfluid.2025.106700.png)
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Abstract
En 中文
• Develop a framework that utilize PINN to estimate numerical error of a simulation data. • Demonstrate that the estimation does work accurately and reliably. • The estimation works with a single simulation dataset. • The estimation works on fine mesh, coarse mesh and even if it is outside the asymptotic range.
Journal
C
IF:
3
Papers:
333
Citations:
1.4W
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