Salvatore Iavarone

Application of machine learning for filtered density function closure in MILD combustion

Zhi X. Chen, Salvatore Iavarone, Golnoush Ghiasi et al. · Combustion and Flame · 2020 · 55 citations · Full text

Engineering, Chemical Engineering, Mechanical Engineering +12

An a priori assessment of the Partially Stirred Reactor (PaSR) model for MILD combustion

Salvatore Iavarone, Arthur Péquin, Zhi X. Chen et al. · Proceedings of the Combustion Institute · 2020 · 54 citations · Full text

Engineering, Chemical Engineering, Mechanical Engineering +17

A multiscale combustion model formulation for NO predictions in hydrogen enriched jet flames

Salvatore Iavarone, Marianna Cafiero, Marco Ferrarotti et al. · International Journal of Hydrogen Energy · 2019 · 49 citations · Full text

Engineering, Chemical Engineering, Mechanical Engineering +16

The partially stirred reactor model for combustion closure in large eddy simulations: Physical principles, sub-models for the cell reacting fraction, and open challenges

Arthur Péquin, Salvatore Iavarone, Riccardo Malpica Galassi et al. · Physics of Fluids · 2022 · 44 citations · Full text

Engineering, Chemical Engineering, Chemistry +17

Investigation of temperature correction methods for fine wire thermocouple losses in low‐pressure flat premixed laminar flames

Marianna Cafiero, Véronique Dias, Salvatore Iavarone et al. · Combustion and Flame · 2022 · 29 citations · Full text

Engineering, Mechanical Engineering, Heat Transfer +13