Coupled pressure and saturation prediction for two-phase flow in porous media using physics-informed neural networks (PINNs)

Random Forests

Leo Breiman · Machine Learning · 2001 · 126.2K citations · Full text

Multilayer feedforward networks are universal approximators

Kurt Hornik, Maxwell B. Stinchcombe, Halbert White · Neural Networks · 1989 · 21.2K citations

Computing, Computer Science, Mathematics +10

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

Approximation by superpositions of a sigmoidal function

George Cybenko · Mathematics of Control Signals and Systems · 1989 · 13.7K citations

Computing, Computer Science, Machine Learning +5

The Proof and Measurement of Association between Two Things

C. Spearman · The American Journal of Psychology · 1904 · 7.6K citations

Natural Sciences, Mathematics, Probability Theory +8