GRIDS-Net: Inverse shape design and identification of scatterers via geometric regularization and physics-embedded deep learning

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

Maziar Raissi, Paris Perdikaris, George Em Karniadakis · Journal of Computational Physics · 2018 · 16.9K citations · Full text

Natural Sciences, Computer Science, Physics +16

Proceedings of the 24th international conference on Machine learning

2007 · 11.7K citations

Computing, Computer Science, Artificial Intelligence +6

Learning Deep Architectures for AI

Yoshua Bengio · Foundations and Trends® in Machine Learning · 2009 · 6.9K citations

Computing, Computer Science, Artificial Intelligence +7

Isogeometric analysis: CAD, finite elements, NURBS, exact geometry and mesh refinement

Thomas J.R. Hughes, J. Austin Cottrell, Yuri Bazilevs · Computer Methods in Applied Mechanics and Engineering · 2005 · 6.2K citations · Full text

Computing, Computational Engineering, Computer Science +17

Hidden fluid mechanics: Learning velocity and pressure fields from flow visualizations

Maziar Raissi, Alireza Yazdani, George Em Karniadakis · Science · 2020 · 2K citations · Full text

Computing, Computer Science, Physics +16