I am a fifth-year Ph.D. candidate in Chemical Engineering at Politecnico di Milano's Department of Chemistry, Materials, and Chemical Engineering Giulio Natta, where I work within the CRECK modeling laboratory under the guidance of Alessandro Stagni. My journey at Politecnico began with my B.Sc. (2016–2019) and continued through my M.Sc. (2019–2021), both in Chemical Engineering. During my doctoral studies, I also had the opportunity to work as a visiting student researcher in the FxLAB at Stanford University.
My research focuses on the application of data-driven methods to develop chemical kinetic models for predicting the combustion and pyrolysis of complex fuels. In addition, my work includes the development of optimization routines and reduction strategies for the computational cost associated with chemical kinetic models. I enjoy writing code, mostly in C/C++, and more recently in Julia and Fortran. As you can see, my interests are terribly broad. I admit my exuberance, and I do nothing to limit it. I am fortunate to be able to explore diverse and interesting questions while holding down a paying job (see my [ cv] for more details).
If you are interested in my work, contact me! [ email me]
Publications
For an always up-to-date list, visit my Google Scholar profile.
2026
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An integrated data-driven workflow for kinetic model development and optimisation: theory and application to OMEs combustion
Timoteo Dinelli, Alessandro Stagni, Tiziano Faravelli
Combustion Theory and Modelling (2026), pp. 1-13 -
Effect of ammonia on soot volume fraction and morphology in laminar flames: modeling the impact of NH2 radicals
Patrizia Crepaldi, Andrea Nobili, Timoteo Dinelli, Luna Pratali Maffei, Alberto Cuoci, Tiziano Faravelli
Fuel 409 (2026), p. 137695
2025
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Impact of third-body colliders on ammonia pyrolysis and oxidation: Detailed kinetic modeling and mechanistic insights
Alessandro Stagni, Timoteo Dinelli
Chemical Engineering Journal 526 (2025), p. 170737 -
Learning chemical kinetics through data assimilation: Theory and application to ammonia oxidation
Timoteo Dinelli, Alessandro Stagni, Matthias Ihme
Chemical Engineering Journal 524 (2025), p. 168863 -
Effect of Synthetic Aviation Fuels on the Stochastic Ignition of Fuel Droplets on Hot Surfaces
Guillaume Vignat, Yichi Ma, Jen Zen Ho, Younghwa Cho, Nozomu Hashimoto, Timoteo Dinelli, Taekeun Yoon, Colette Fisher, Matthias Ihme
AIAA SCITECH 2025 Forum (2025)
2024
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Kinetic modeling of carbonaceous particle morphology, polydispersity and nanostructure through the discrete sectional approach
Andrea Nobili, Niccolò Fanari, Timoteo Dinelli, Edoardo Cipriano, Alberto Cuoci, Matteo Pelucchi, Alessio Frassoldati, Tiziano Faravelli
Combustion and Flame 269 (2024), p. 113697 -
A data-driven, lumped kinetic modeling of OME2-5 pyrolysis and oxidation
Timoteo Dinelli, Alessandro Pegurri, Andrea Bertolino, Alessandro Parente, Tiziano Faravelli, Marco Mehl, Alessandro Stagni
Proceedings of the Combustion Institute 40(1) (2024), p. 105547 -
Coupling chemical lumping to data-driven optimization for the kinetic modeling of dimethoxymethane (DMM) combustion
Alessandro Pegurri, Timoteo Dinelli, Luna Pratali Maffei, Tiziano Faravelli, Alessandro Stagni
Combustion and Flame 260 (2024), p. 113202
2023
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Automated Kinetic Mechanism Evaluation for e-Fuels Using SciExpeM: The Case of Oxymethylene Ethers
Timoteo Dinelli, Luna Pratali Maffei, Alessandro Pegurri, Amedeo Puri, Alessandro Stagni, Tiziano Faravelli
SAE Technical Paper 2023-24-0092, Capri, Italy (2023) -
Automatic validation and analysis of predictive models by means of big data and data science
Edoardo Ramalli, Timoteo Dinelli, Andrea Nobili, Alessandro Stagni, Barbara Pernici, Tiziano Faravelli
Chemical Engineering Journal 454 (2023), p. 140149