I am a third-year Ph.D. student at Politecnico di Milano, in the Department of Chemistry, Materials, and Chemical Engineering Giulio Natta, within the CRECK modeling laboratory, advised by Alessandro Stagni. 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++, 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.
If you are interested in my work, contact me! [ Email me]
Education
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Ph.D. in Chemical Engineering, Politecnico di Milano. 2021—present
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Master degree in Chemical Engineering, Politecnico di Milano. 2019—2021
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Bachelor degree in Chemical Engineering, Politecnico di Milano. 2016—2019
List of Publications
- Andrea Nobili, Niccolo Fanari, Timoteo Dinelli, Edoardo Cipriano, Alberto Cuoci, Matteo Pelucchi, Alessio Frassoldati, Tiziano Faravelli. ‘Kinetic modeling of carbonaceous particle morphology, polydispersity and nanostructure through the discrete sectional approach’. Combustion and Flame 269 (2024), p. 113697. DOI.
- Timoteo Dinelli, Alessandro Pegurri, Andrea Bertolino, Alessandro Parente, Tiziano Faravelli, Marco Mehl, and Alessandro Stagni. ‘A data-driven, lumped kinetic modeling of OME2-5 pyrolysis and oxidation’. Proceedings of the Combustion Institute 40.1 (2024), p. 105547. DOI.
- Alessandro Pegurri, Timoteo Dinelli, Luna Pratali Maffei, Tiziano Faravelli, and Alessandro Stagni. ‘Coupling Chemical Lumping to Data-Driven Optimization for the Kinetic Modeling of Dimethoxymethane (DMM) Combustion’. Combustion and Flame 260 (2024), p. 113202. DOI.
- Timoteo Dinelli, Luna Pratali Maffei, Alessandro Pegurri, Amedeo Puri, Alessandro Stagni, and Tiziano Faravelli. ‘Automated Kinetic Mechanism Evaluation for E-Fuels Using SciExpeM: The Case of Oxymethylene Ethers’, 2023-24–0092. Capri, Italy, 2023. DOI.
- Edoardo Ramalli, Timoteo Dinelli, Andrea Nobili, Alessandro Stagni, Barbara Pernici, and Tiziano Faravelli. ‘Automatic Validation and Analysis of Predictive Models by Means of Big Data and Data Science’. Chemical Engineering Journal 454 (2023), p. 140149. DOI.