LordNet: An Efficient Neural Network for Learning to Solve Parametric Partial Differential Equations without Simulated Data
The authors propose a general data-free paradigm where a neural network called LordNet directly learns to solve parametric partial differential equations (PDEs) from the mean squared residual (MSR) loss constructed by the discretized PDE, without requiring any simulated data.