Works (12)

Updated: December 22nd, 2023 05:00

2023 article

Deep Learning of Joint Scalar PDFs in Turbulent Flames from Sparse Multiscalar Data

Ranade, R., Gitushi, K. M., & Echekki, T. (2023, November 25). COMBUSTION SCIENCE AND TECHNOLOGY, Vol. 11.

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

author keywords: DeepONet; kernel density estimation; principal component analysis; joint scalar PDFs; turbulent combustion
Sources: Web Of Science, ORCID
Added: December 18, 2023

2023 article

Physics-Informed Neural Networks for Turbulent Combustion: Toward Extracting More Statistics and Closure from Point Multiscalar Measurements

Taassob, A., Ranade, R., & Echekki, T. (2023, October 31). ENERGY & FUELS, Vol. 10.

By: A. Taassob n, R. Ranade* & T. Echekki n

Sources: Web Of Science, ORCID
Added: November 1, 2023

2022 journal article

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

COMBUSTION AND FLAME, 236.

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

author keywords: DeepONet; Kernel density estimation; Principal component analysis; Independent component analysis
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*

author keywords: Topology optimization; Deep learning; Sequence models; Algorithmically-consistent learning
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 n, G. Li*, S. Li* & T. Echekki n

author keywords: PDF turbulent combustion; multi-layer perceptron; self-organized maps; machine-learning
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*

author keywords: Partial Differential Equations; Machine Learning; Discretization Methods; Physics-Informed Learning
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 n, T. Echekki n & A. Masri*

co-author countries: Australia 🇦🇺
author keywords: Data-based modeling; Kernel density estimation; Principal component analysis; Artificial neural networks
Sources: Web Of Science, ORCID
Added: November 18, 2021

2020 article

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

(2020, May 17).

Rishikesh 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 n & T. Echekki n

Contributors: R. Ranade n & T. Echekki n

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 n & T. Echekki n

Contributors: R. Ranade n & T. Echekki n

author keywords: Data-based modeling; Joint probability density function; Principal component analysis; Artificial neural networks
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 n, S. Alqahtani n, A. Farooq* & T. Echekki n

co-author countries: Saudi Arabia 🇸🇦

Contributors: R. Ranade n, S. Alqahtani n, A. Farooq* & T. Echekki n

author keywords: Chemistry reduction; Artificial neural networks; Hydrocarbon oxidation; Pyrolysis
Sources: ORCID, Web Of Science
Added: March 4, 2019

2019 journal article

An extended hybrid chemistry framework for complex hydrocarbon fuels

FUEL, 251, 276–284.

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

co-author countries: Saudi Arabia 🇸🇦

Contributors: R. Ranade n, S. Alqahtani n, A. Farooq* & T. Echekki n

author keywords: Chemistry reduction; Artificial neural networks; Hydrocarbon oxidation; Pyrolysis
Sources: ORCID, Web Of Science
Added: June 17, 2019

Employment

Updated: November 15th, 2019 20:16

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

Updated: September 20th, 2019 23:07

2015 - 2019

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

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