Opeoluwa Owoyele

发表

Performance analysis of a thermoelectric cooler with a corrugated architecture

Scott Ferguson, Opeoluwa Owoyele, Scott M. Ferguson, 2015 .

A Corrugated Architecture for Thick Film Thermoelectric Devices.

Opeoluwa Owoyele, 2014 .

Implementation of high dimensional flamelet manifolds for supersonic combustion using deep neural networks

Opeoluwa Owoyele, S. Demir, Prithwish Kundu, 2020 .

A Machine Learning Framework for Detecting COVID-19 Infection Using Surface-Enhanced Raman Scattering

M. Gartia, Opeoluwa Owoyele, D. Pan, 2022, Biosensors.

A machine learning-genetic algorithm approach for rapid optimization of internal combustion engines

S. Som, J. Badra, P. Pal, 2022, Artificial Intelligence and Data Driven Optimization of Internal Combustion Engines.

Development of a Machine Learning Wall Model for Large-Eddy Simulation of Gas Turbine Film Cooling Flows

D. Tretiak, Opeoluwa Owoyele, A. Nunno, 2023, AIAA SCITECH 2023 Forum.

Application of an automated machine learning-genetic algorithm (AutoML-GA) coupled with computational fluid dynamics simulations for rapid engine design optimization

Pinaki Pal, Daniel Probst, Opeoluwa Owoyele, 2021, International Journal of Engine Research.

An Automated Machine Learning-Genetic Algorithm Framework With Active Learning for Design Optimization

Pinaki Pal, Opeoluwa Owoyele, Alvaro Vidal Torreira, 2021 .

An automated machine learning-genetic algorithm (AutoML-GA) approach for efficient simulation-driven engine design optimization pdf

Michael Wilde, Pinaki Pal, Opeoluwa Owoyele, 2021, ArXiv.

Application of a novel machine learning based optimization algorithm (ActivO) for accelerating simulation-driven engine design pdf

Pinaki Pal, Opeoluwa Owoyele, P. Pal, 2020, ArXiv.

Engine Combustion System Optimization Using CFD and Machine Learning: A Methodological Approach

Jihad Badra, Fethi Khaled, Yuanjiang Pei, 2019, ASME 2019 Internal Combustion Engine Division Fall Technical Conference.

A Novel Active Optimization Approach for Rapid and Efficient Design Space Exploration Using Ensemble Machine Learning

Pinaki Pal, Opeoluwa Owoyele, P. Pal, 2019, Journal of Energy Resources Technology.

DeepHive: A multi-agent reinforcement learning approach for automated discovery of swarm-based optimization policies

Opeoluwa Owoyele, E. Ikponmwoba, 2023, ArXiv.

Chemical Explosive Mode Prediction using Machine Learning for Advanced Flame Diagnostics

Pinaki Pal, Sibendu Som, Chao Xu, 2020 .

Engine Combustion System Optimization Using Computational Fluid Dynamics and Machine Learning: A Methodological Approach

Fethi Khaled, Yuanjiang Pei, Meng Tang, 2020, Journal of Energy Resources Technology.

Application of deep artificial neural networks to multi-dimensional flamelet libraries and spray flames

Sibendu Som, Prithwish Kundu, Muhsin M. Ameen, 2019, International Journal of Engine Research.

Toward computationally efficient combustion DNS with complex fuels via principal component transport

Opeoluwa Owoyele, Tarek Echekki, Opeoluwa Owoyele, 2017 .

Acceleration of turbulent combustion DNS via principal component transport

Jacqueline H. Chen, Opeoluwa Owoyele, T. Echekki, 2023, Combustion and Flame.

ChemNODE: A Neural Ordinary Differential Equations Framework for Efficient Chemical Kinetic Solvers

P. Pal, Opeoluwa Owoyele, 2020, Energy and AI.

Efficient bifurcation and tabulation of multi-dimensional combustion manifolds using deep mixture of experts: An a priori study

P. Pal, Opeoluwa Owoyele, Prithwish Kundu, 2020 .

A Competitive Learning Approach for Specialized Models: A Solution for Complex Physical Systems with Distinct Functional Regimes

Opeoluwa Owoyele, Okezzi Ukorigho, 2023, ArXiv.