A simple yet effective way to overcome the data requirements in learning PDEs. We can use the equations to generate synthetic data in the reverse direction and reduce the dependence on numerical solvers => meaning start with a potential solution and generate the input using PDE.
Synthetic Data Generation Reduces PDE Learning Data Requirements
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