Publications
- A machine learning framework to predict the aggregation of polycyclic aromatic compounds
- Exploring soot inception rate with stochastic modelling and machine learning
- Uncertainty-based weight determination for surrogate optimization
- Stochastic and network analysis of polycyclic aromatic growth in a coflow diffusion flame
- Oxidation of 2,6-dimethylheptane at low temperature: Kinetic modeling and experimental study
- Reaction pathways for the formation of five-membered rings onto polyaromatic hydrocarbon framework
- Molecular structures in flames: A comparison between SNapS2 and recent AFM results
- On the importance of species selection for the formulation of fuel surrogates