AMS 2022 Physics-informed neural networks (PINNs) for fluid mechanics: a review

> 키워드 PINN, NN, DNN, Flow reconstruction, Flow visualization, PDE, Loss function >목차 0. Introduction 1.

PINN의 장점 2. PINN 3.

PINN의 동향 4. PINN의 검증 출처 : https://link.springer.com/article/10.1007/s10409-021-01148-1 Physics-informed neural networks (PINNs) for fluid mechanics: a review - Acta Mechanica Sinica Abstract Despite the significant progress over the last 50 years in simulating flow problems using numerical discretization of the Navier–Stokes equations (NSE), we still cannot incorporate seam...

AMS 2022 Physics-informed neural networks (PINNs) for fluid mechanics: a review

> 키워드 PINN, NN, DNN, Flow reconstruction, Flow visualization, PDE, Loss function >목차 0. Introduction 1. PINN의 장점 2. PINN 3. PINN의 동향 4. PINN의 검증 출처 : https://link.springer.com/article/10.1007/s10409-021-01148-1 Physics-informed neural networks (PINNs) for fluid mechanics: a review - Acta Mechanica Sinica Abstract Despite the significant progress over the last 50 years in simulating flow problems using numerical discretization of the Navier–Stokes equations (NSE), we still cannot incorporate seam

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