Training physics-informed neural networks: One learning to rule them all?

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 · 14.4K citations · Full text

Engineering, Pde-constrained Optimization, Deep Learning Framework +6

Mastering the game of Go without human knowledge

David Silver, Julian Schrittwieser, Karen Simonyan et al. · Nature · 2017 · 9K citations

Artificial Intelligence, Game Ai, Cognitive Science +10

Predicting the sequence specificities of DNA- and RNA-binding proteins by deep learning

Babak Alipanahi, Andrew Delong, Matthew T. Weirauch et al. · Nature Biotechnology · 2015 · 3.1K citations · Full text

Artificial neural networks for solving ordinary and partial differential equations

IEEE Transactions on Neural Networks · 1998 · 2.1K citations · Full text

Numerical Analysis, Method Of Fundamental Solution, Evolving Neural Network +13

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

Maziar Raissi, Alireza Yazdani, George Em Karniadakis · Science · 2020 · 1.8K citations · Full text

Geometric Learning, Real-time Visualization, Convolutional Neural Network +23