Soot inception: Carbonaceous nanoparticle formation in flames

JW Martin, M Salamanca, M Kraft - Progress in Energy and Combustion …, 2022 - Elsevier
The route by which gas-phase molecules in hydrocarbon flames form condensed-phase
carbonaceous nanoparticles (incipient soot) is reviewed. These products of incomplete …

Exploring soot inception rate with stochastic modelling and machine learning

L Di Liddo, JC Saldinger, M Jadidi, P Elvati, A Violi… - Combustion and …, 2023 - Elsevier
A diverse range of polycyclic aromatic compounds (PACs) is thought to exist in flame
environments before and during soot inception. This work seeks to develop a machine …

Predicting aggregation rates of polycyclic aromatics through machine learning

JC Saldinger, P Elvati, K Alrawi, A Violi - Fuel, 2024 - Elsevier
The transition of gas-phase polycyclic aromatic compounds (PACs) into mature soot
particles stands as a critical stage in the process of soot formation. However, formulating an …

A machine learning framework to predict the aggregation of polycyclic aromatic compounds

JC Saldinger, P Elvati, A Violi - Proceedings of the Combustion Institute, 2023 - Elsevier
The physical aggregation of polycyclic aromatic compounds (PACs) is a key step in soot
inception. In this work, we set out to elucidate which molecular properties of PACs influence …

[PDF][PDF] Exploring soot inception with stochastic modelling, machine learning, and CFD

L Di Liddo - 2022 - rshare.library.torontomu.ca
Luke Di Liddo Master's of Applied Science Graduate Department of Mechanical and
Industrial Engineering Toronto Metropolitan University 2022 Soot particle emissions are …

A predictive model for the aggregation of polycyclic aromatic compounds

JC Saldinger, P Elvati, A Violi - 2022 - engrxiv.org
The physical aggregation of polycyclic aromatic compounds (PACs) is a key step in soot
inception. In this work, we set out to elucidate which molecular properties influence the …