Master Thesis 

Several Master Theses are available at the CRECK Modeling Lab. Please click on the links below for further information.

1. Data science and machine learning tools for the development of kinetic models of pyrolysis and combustion

2. Development of a state-of-the-art model for hydrogen combustion

3. Kinetic model reduction: extension of DoctorSMOKE++ to CSTRs and laminar flames and introduction of QSSA

4. Design of a biomass pyrolytic stove for cooking purposes in underdeveloped countries

5. Kinetic modelling of value-added carbon materials and turquoise hydrogen production from hydrocarbons pyrolysis

6. Numerical modeling of Chemical Vapor Infiltration (CVI) reactors for carbon disk brakes production

7. Chemical recycling of plastics via pyrolysis and gasification

8. Thermal degradation of biomasses: update of a detailed kinetic model from experimental data

9. E-fuels for the energy transition: kinetic modeling and applications

10. Molecular modelling of liquid phase chemical reactions

11. Modeling the growth of polycyclic aromatic hydrocarbons (PAHs) from hydrocarbon pyrolysis

12. Carbonaceous nanoparticles: modeling primary particle formation for electronic device applications

13. Nitrogen oxides formation from Hand H2/CH4 mixtures

14. Theoretical investigation of relevant NOx/e-Fuels interactions

15. Modelling the e-fuel/NOx interactions in internal combustion engines

16. Optimization of jet-fuel surrogates

17. Reaction class based kinetic mechanism optimization for aromatic hydrocarbons

18. Kinetic modeling of C4 alkenes pyrolysis and oxidation

19. From small to large: rate rule development for aromatic hydrocarbons additions

20. Exotic oxidation reactions of unsaturated rings

21. Multi-modal flame structure under autoignitive conditions

22. Enhancement of experimental and numerical data through Machine Learning