Research Interest
I am a fourth-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.
Education
- Ph.D. in Chemical Engineering, Politecnico di Milano. (2021-present)
- Master degree in Chemical Engineering, Politecnico di Milano. (2019-2021)
- Bachelor degree in Chemical Engineering, Politecnico di Milano. (2016-2019)
Selected Publications
- 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: doi.org/10.1016/j.proci.2024.105547.
- 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: doi.org/10.4271/2023-24-0092.
- 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: doi.org/10.1016/j.cej.2022.140149.
