Dr Rodolfo Da Silva Machado De Freitas
Postdoctoral Research Associate in Synthetic Fuel Utilisation
School of Engineering and Materials Science
Queen Mary University of London
Research
Sustainable fuels, AI for science, Energy
Interests
Dr. Rodolfo Freitas was employed as a Postdoctoral Research Associate in Synthetic Fuel Utilisation by the QMUL in 2023. Before this appointment, he held the "
IF@ULB" Postdoctoral Fellowship since 2021, co-funded by the Université libre de Bruxelles and the European Commission within the framework of MARIE SKLODOWSKA-CURIE actions (H2020). He received his PhD degree in Mechanical Engineering from Federal University of Rio de Janeiro in 2020. His research interest is focused on Machine Learning with applications to fuel property and combustion emission predictions; Molecular dynamics simulation; Thermofluid Modelling/Simulation for Sustainable Energy Utilisation; Development of Uncertainty Quantification (UQ) techniques for calibration and validation of simplified (reduced) chemical kinetics models; Modeling of turbulence-chemistry interactions for combustion models.
Publications
Publications of specific relevance to the Centre for Sustainable Engineering
2023
Deep learning dynamical latencies for the analysis and reduction of combustion chemistry kinetics Physics of Fluids,
Aip Publishing vol. 35 (10)
01-10-2023Model identification in reactor-based combustion closures using sparse symbolic regressionFreitas RSM Péquin A Galassi RM Attili A
Combustion and Flame,
Elsevier vol. 255, 112925-112925.
06-07-2023 2022
Towards predicting liquid fuel physicochemical properties using molecular dynamics guided machine learning modelsFreitas RSM Lima ÁPF Chen C Rochinha FA
Fuel,
Elsevier Bv vol. 329, 125415-125415.
05-08-2022 2021
An encoder-decoder deep surrogate for reverse time migration in seismic imaging under uncertaintyFreitas RSM Barbosa CHS Guerra GM Coutinho ALGA
Computational Geosciences,
Springer Nature vol. 25 (3), 1229-1250.
06-04-2021 2020
Parametric and Model Uncertainties Induced by Reduced Order Chemical Mechanisms for Biogas CombustionM. Freitas RS Rochinha FA Mira D
Chemical Engineering Science,
Elsevier Bv, 115949-115949.
15-07-2020 2019
Constructing Accurate Phenomenological Surrogate for Fluid Structure Interaction ModelsDa Silva Machado De Freitas R Guerra G Rochinha F Cavalca K Weber H
Mechanisms and Machine Science, Springer, Cham vol. 63 (Proceedings of the 10th International Conference on Rotor Dynamics – IFToMM. IFToMM 2018)
01-01-2019
Research Group
