Direct Numerical Simulations of NH₃/H₂ Flames Stabilized by a Splitter Plate: Effects of Inlet Temperature and Hydrogen Fraction Under Rich and Lean Conditions

ENCODING The aim of this MSCA Doctoral Network, funded within the Horizon Europe Framework Programme is to build a generalized hybrid machine learning-based digital infrastructure in order to predict the impact of Renewable Synthetic Fuels (RSF) inexploitation on hard-to- abate sectors. The team is composed by 10 Doctoral Candidates, working in different fields: combustion science, fluid dynamics, and machine learning (ML) and the goal of the project is to work on their specific formation, promoting the exchange of ideas and tools.