LSTM-PINN: An Hybrid Method for Prediction of Steady-State Electrohydrodynamic Flow

Ze Tao, Ke Xu, Fujun Liu

Physics-Informed Neural Networks (PINNs) have demonstrated considerable success in solving complex fluid dynamics problems. However, their performance often deteriorates in regimes…