Data-driven resolvent analysis

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

Dynamic mode decomposition of numerical and experimental data

Peter J. Schmid · Journal of Fluid Mechanics · 2010 · 5.7K citations · Full text

Natural Sciences, Visualization, Computational Fluid Dynamics +15

Discovering governing equations from data by sparse identification of nonlinear dynamical systems

Steven L. Brunton, Joshua L. Proctor, J. Nathan Kutz · Proceedings of the National Academy of Sciences · 2016 · 4.5K citations · Full text

Natural Sciences, Computer Science, Physics +17

Finding Structure with Randomness: Probabilistic Algorithms for Constructing Approximate Matrix Decompositions

Nathan Halko, Per‐Gunnar Martinsson, Joel A. Tropp · SIAM Review · 2011 · 4.1K citations

Computing, Computer Science, Algorithms +16

Machine Learning for Fluid Mechanics

Annual Review of Fluid Mechanics · 2019 · 2.6K citations · Full text

Computing, Computer Science, Mechanical Engineering +8