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2014–2018

Publications

Turbulence modelling, field inversion, and the early years of putting machine learning inside a closure model.

Thesis

2018

A Framework to improve Turbulence Models using Full-field Inversion and Machine Learning

PhD Thesis, University of Michigan

Journal

2017

Machine Learning-augmented Predictive Modeling of Turbulent Separated Flows over Airfoils

AP Singh, S Medida, K Duraisamy · AIAA Journal
2016

Using field inversion to quantify functional errors in turbulence closures

AP Singh, K Duraisamy · Physics of Fluids

Peer-reviewed conference

2017

Data-driven augmentation of turbulence models for adverse pressure gradient flows

AP Singh, R Matai, K Duraisamy, P Durbin · AIAA Aviation
2017

Characterizing and improving predictive accuracy in shock-turbulent boundary layer interactions using data-driven models

AP Singh, S Pan, K Duraisamy · AIAA SciTech
2017

Augmentation of turbulence models using field inversion and machine learning

K Duraisamy, AP Singh, S Pan · AIAA SciTech
2016

Informing Turbulence Closures With Computational and Experimental Data

K Duraisamy, AP Singh · AIAA SciTech
2015

New approaches in turbulence and transition modeling using data-driven techniques

K Duraisamy, ZJ Zhang, AP Singh · AIAA SciTech
2014

Multi Fidelity Aerodynamic Design of Ducted Microscale Rotor Systems

AP Singh, K Duraisamy · AHS Forum 70

Talks

2017

Field Inversion and Machine Learning for Predictive Turbulence Modeling

Advances in Turbulence Modeling Symposium, University of Michigan
2017

Data-Driven Predictive Modeling of RANS Model Discrepancies

Invited · SIAM Conference on Computational Science and Engineering
2016

Machine Learning-Assisted Predictions of Turbulent Separated Flows over Airfoils

AP Singh, S Medida, K Duraisamy · 69th Annual APS DFD Meeting
2015

Full field inversion: A tool to diagnose and improve closure models

AP Singh, K Duraisamy · 68th Annual APS DFD Meeting