Publications.

Ukorigho, O., & Owoyele, O. Entropy-Constrained Machine Learning with Residual Data Augmentation for Modeling Chemical Kinetics. Proceedings of the Combustion Institute. Accepted for publication. arXiv preprint available ↗

John, P., Ikponmwoba, E., Pal, P., & Owoyele, O. A Reinforcement-Learning-Augmented Liquid-Fueled Reactor Network Model for Predicting Lean Blowout in Gas Turbine Combustors. Proceedings of the Combustion Institute. Accepted for publication. arXiv preprint available ↗

Ikponmwoba, E., & Owoyele, O. Autonomous Adaptive Solver Selection for Chemistry Integration via Reinforcement Learning. Combustion and Flame. Accepted for publication. arXiv preprint available ↗

John, P., Chandrasekhar, H., Saha, S., & Owoyele, O. A Liquid-Fueled Reactor Network Model for Enhanced NOx Prediction in Gas Turbine Combustors. Combustion and Flame. Available online. View published article ↗ arXiv preprint available ↗

Chandrasekhar, H., & Owoyele, O. A deep neural kernel approach with balanced clustering for flamelet modeling of spray flames. Combustion and Flame, 284, 114635. ↗

Owoyele, O. Quantized Skeletal Learning (QSL): A differentiable programming approach for skeletal reduction of chemical mechanisms. Fuel, 415, 138290. ↗

Ukorigho, O., & Owoyele, O. A competitive learning approach for specialized models: An approach to modelling complex physical systems with distinct functional regimes. Proceedings of the Royal Society A, 481, 20240124. ↗

Al Harraq, A., Patel, R., Lee, J. G., Owoyele, O., Chun, J., & Bharti, B. Non-Reciprocity, Metastability, and Dynamic Reconfiguration in Co-Assembly of Active and Passive Particles. Advanced Science, 12, 2409489. ↗

Ikponmwoba, E., & Owoyele, O. Deephive: A Reinforcement Learning Approach for Automated Discovery of Swarm-Based Optimization Policies. Algorithms, 17(11), 500. ↗

Kumar, T., Pal, P., Wu, S., Nunno, A. C., Owoyele, O., Joly, M. M., & Tretiak, D. Assessment of Machine Learning Wall Modeling Approaches for Large Eddy Simulation of Gas Turbine Film Cooling Flows: An a Priori Study. Journal of Engineering for Gas Turbines and Power, 146(8), 081019. ↗

Kumar, A., Rieth, M., Owoyele, O., Chen, J. H., & Echekki, T. Acceleration of turbulent combustion DNS via principal component transport. Combustion and Flame, 255, 112903. ↗

Badra, J., Owoyele, O., Pal, P., & Som, S. A machine learning-genetic algorithm approach for rapid optimization of internal combustion engines. In Artificial Intelligence and Data Driven Optimization of Internal Combustion Engines (pp. 125–158). Elsevier.

Owoyele, O., & Pal, P. Machine learning–driven sequential optimization using dynamic exploration and exploitation. In Artificial Intelligence and Data Driven Optimization of Internal Combustion Engines (pp. 159–181). Elsevier.

Ikponmwoba, E., Ukorigho, O., Moitra, P., Pan, D., Gartia, M. R., & Owoyele, O. A Machine Learning Framework for Detecting COVID-19 Infection Using Surface-Enhanced Raman Scattering. Biosensors, 12(8), 589. ↗

Owoyele, O., & Pal, P. ChemNODE: A neural ordinary differential equations framework for efficient chemical kinetic solvers. Energy and AI, 7, 100118. ↗

Owoyele, O., Pal, P., Vidal Torreira, A., Probst, D., Shaxted, M., Wilde, M., & Senecal, P. K. Application of an automated machine learning-genetic algorithm coupled with computational fluid dynamics simulations for rapid engine design optimization. International Journal of Engine Research, 23(9), 1586–1601. ↗

Owoyele, O., & Pal, P. Application of a novel machine learning-based optimization algorithm (ActivO) for accelerating simulation-driven engine design. Applied Energy, 284, 116305. ↗

Owoyele, O., Pal, P., & Torreira, A. V. An automated machine learning-genetic algorithm framework with active learning for design optimization. Journal of Energy Resources Technology, 143(8), 082305. ↗

Owoyele, O., Kundu, P., & Pal, P. Efficient bifurcation and tabulation of multi-dimensional combustion manifolds using deep mixture of experts: An a priori study. Proceedings of the Combustion Institute, 38(3), 4393–4400. ↗

Badra, J., Khaled, F., Tang, M., Pei, Y., Kodavasal, J., Pal, P., Owoyele, O., Futterer, C., Brenner, M., & Farooq, A. Engine combustion system optimization using CFD and machine learning: A methodological approach. Journal of Energy Resources Technology, 142(8), 082205. ↗

Owoyele, O., & Pal, P. A novel active optimization approach for rapid and efficient design space exploration using ensemble machine learning. Journal of Energy Resources Technology, 143(3), 032307. ↗

Owoyele, O., Kundu, P., Ameen, M., Echekki, T., & Som, S. Application of deep artificial neural networks to multi-dimensional flamelet libraries and spray flames. International Journal of Engine Research, 20(1), 1–16. ↗

Owoyele, O., & Echekki, T. Toward computationally efficient combustion DNS with complex fuels via principal component transport. Combustion Theory and Modelling, 21(5), 921–949. ↗

Owoyele, O., Ferguson, S., & O’Connor, B. Performance analysis of a thermoelectric cooler with a corrugated architecture. Applied Energy, 147, 184–191. ↗