Prediction of aerodynamic flow fields using convolutional neural networks

Hidden physics models: Machine learning of nonlinear partial differential equations

(2018) Maziar Raissi et al.   JOURNAL OF COMPUTATIONAL PHYSICS

Turbulence Modeling in the Age of Data

(2018) Karthik Duraisamy et al.   Annual Review of Fluid Mechanics

Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations

(2018) M. Raissi et al.   JOURNAL OF COMPUTATIONAL PHYSICS

Deep learning in neural networks: An overview

(2015) Jürgen Schmidhuber   NEURAL NETWORKS

Floating scale surface reconstruction

(2014) Simon Fuhrmann et al.   ACM TRANSACTIONS ON GRAPHICS

Computational Investigation of Microscale Coaxial-Rotor Aerodynamics in Hover

(2010) Vinod K. Lakshminarayan et al.   JOURNAL OF AIRCRAFT