Towards Integrated Field Inversion and Machine Learning With Embedded Neural Networks for RANS Modeling

Learning representations by back-propagating errors

David E. Rumelhart, Geoffrey E. Hinton, Ronald J. Williams · Nature · 1986 · 30.9K citations

Computing, Computer Science, Knowledge Representation +11

Turbulence Modeling in the Age of Data

Karthik Duraisamy, Gianluca Iaccarino, Heng Xiao · Annual Review of Fluid Mechanics · 2018 · 1.4K citations · Full text

Engineering, Aerospace Engineering, Computational Engineering +17

SU2: An Open-Source Suite for Multiphysics Simulation and Design

Thomas D. Economon, Francisco Palacios, Sean R. Copeland et al. · AIAA Journal · 2015 · 923 citations

Engineering, Computational Engineering, Mechanical Engineering +17

A paradigm for data-driven predictive modeling using field inversion and machine learning

Eric Parish, Karthik Duraisamy · Journal of Computational Physics · 2015 · 600 citations

Computing, Computer Science, Data Science +16

Physics-informed machine learning approach for reconstructing Reynolds stress modeling discrepancies based on DNS data

Physical Review Fluids · 2017 · 599 citations · Full text

Engineering, Computer Science, Physics +16