Publications

Latest published articles

• R. S. M. Freitas, Z. Xing, F. A. Rochinha, et al., “Pathways to sustainable fuel design from a probabilistic deep learning perspective,” Advances in Applied Energy, vol. 19, p. 100 226, 2025, issn: 2666-7924. doi: https://doi.org/10.1016/j.adapen.2025.100226.

• Rodolfo S. M. Freitas, Jacques Honigbaum, Soulemayne Zio, Gabriel M. Guerra, Fernando Rochinha; Bayesian uncertainty estimation of adsorption closure models in the computational simulation of contaminant transport, Journal of Environmental Management, 379, 124708, 2025, doi: https://doi.org/10.1016/j.jenvman.2025.124708

• Zhihao Xing, Rodolfo S.M. Freitas, Xi Jiang, “Machine learning-driven multi-objective optimisation of ammonia co-firing with highly reactive fuels,” Energy Conversion and Management, vol. 341, 2025, doi: https://doi.org/10.1016/j.enconman.2025.120071.

• Cihat Emre Üstün, Rodolfo Da Silva Machado De Freitas, Ekenechukwu Chijioke Okafor, Mahdi Shahbakhti, Xi Jiang, and Amin Paykani, “Machine Learning Applications for Predicting Fuel Ignition and Flame Properties: Current Status and Future Perspectives “, Energy & Fuels 2025 39 (28), 13281-13314 doi: 10.1021/acs.energyfuels.5c02343

• Z. Xing, R. S. Freitas, and X. Jiang, “Machine learning-driven multi-objective optimisation of ammonia co-firing with highly reactive fuels,” Energy Conversion and Management, vol. 341, p. 120 071, 2025, issn: 0196-8904. doi: https://doi.org/10.1016/j.enconman.2025.120071.

• Lorenzo Piu, Arthur Péquin, Rodolfo S.M. Freitas, Salvatore Iavarone, Heinz Pitsch, Alessandro Parente; A Data-Driven Approach to Refine the Partially Stirred Reactor Closure for Turbulent Premixed Flames, Flow, Turbulence and Combustion, 1-26, 2025

  You can also find all my articles on my Google Scholar profile.