Works (10)

2022 journal article

Investigation of deep learning methods for efficient high-fidelity simulations in turbulent combustion

COMBUSTION AND FLAME, 236, 111814.

By: K. Gitushi, R. Ranade & T. Echekki

Sources: ORCID, Web Of Science
Added: November 1, 2021

2021 journal article

Algorithmically-consistent deep learning frameworks for structural topology optimization

Engineering Applications of Artificial Intelligence.

By: J. Rade, A. Balu, E. Herron, J. Pathak, R. Ranade, S. Sarkar, A. Krishnamurthy

Source: ORCID
Added: October 13, 2021

2021 journal article

An Efficient Machine-Learning Approach for PDF Tabulation in Turbulent Combustion Closure

Combustion Science and Technology, 193(7), 1258–1277.

By: R. Ranade, G. Li, S. Li & T. Echekki

Source: ORCID
Added: November 7, 2019

2021 journal article

DiscretizationNet: A machine-learning based solver for Navier–Stokes equations using finite volume discretization

Computer Methods in Applied Mechanics and Engineering, 378, 113722.

By: R. Ranade, C. Hill & J. Pathak

Source: ORCID
Added: February 27, 2021

2021 article

Experiment-Based Modeling of Turbulent Flames with Inhomogeneous Inlets

Ranade, R., Echekki, T., & Masri, A. R. (2021, November 16). FLOW TURBULENCE AND COMBUSTION, Vol. 11.

By: R. Ranade, T. Echekki & A. Masri

Sources: Web Of Science, ORCID
Added: November 29, 2021

2020 article

DiscretizationNet: A Machine-Learning based solver for Navier-Stokes Equations using Finite Volume Discretization

Ranade, R. (2020, May 17).

By: R. Ranade

Source: ORCID
Added: September 13, 2020

2019 article

A Framework for Data-Based Turbulent Combustion Closure: A Priori Validation

Ranade, R., & Echekki, T. (2019, May 20). Combustion and Flame, Vol. 206, pp. 490–505.

By: R. Ranade & T. Echekki

Source: ORCID
Added: June 17, 2019

2019 journal article

A framework for data-based turbulent combustion closure: A posteriori validation

Combustion and Flame, 210, 279–291.

By: R. Ranade & T. Echekki

Source: ORCID
Added: September 17, 2019

2019 journal article

An ANN based hybrid chemistry framework for complex fuels

Fuel, 241, 625–636.

By: R. Ranade, S. Alqahtani, A. Farooq & T. Echekki

Source: ORCID
Added: June 17, 2019

2019 journal article

An extended hybrid chemistry framework for complex hydrocarbon fuels

FUEL, 251, 276–284.

By: R. Ranade, S. Alqahtani, A. Farooq & T. Echekki

Sources: ORCID, Web Of Science
Added: June 17, 2019

Employment

2019 - present

Ansys Inc Pittsburgh, PA, US
Machine Learning Researcher CTO Office

2018 - 2018

Ansys Inc Lebanon, NH, US
Software Development Intern Fluent reacting flow team

Education

2015 - 2019

North Carolina State University Raleigh, NC, US
PhD Mechanical and Aerospace Engineering