An End-to-End PyTorch Interface for Differentiable PDE Solvers: A RANS Model-Correction Study

Name: An End-to-End PyTorch Interface for Differentiable PDE Solvers: A RANS Model-Correction Study
Uploaded: 2026-10-15T08:00:11.716817+00:00
Duration: 269 s
Description: The work creates an end-to-end differentiable framework for solving inverse problems constrained by Partial Differential Equations using Machine Learning. It combines a baseline PDE solver with a trainable correction term to reconstruct physical properties, such as eddy viscosity, from flow variables.

The work creates an end-to-end differentiable framework for solving inverse problems constrained by Partial Differential Equations using Machine Learning. It combines a baseline PDE solver with a trainable correction term to reconstruct physical properties, such as eddy viscosity, from flow variables.

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