Modelling Aluminum Particle Combustion for the Production of Green Hydrogen (TV-L 13 Full time)

• Development of detailed models for the combustion of aluminum particles
• Development of reduced-order models
• Development of a simulation framework for the entire reactor
• Process simulation and analysis
• Project management with project partners

Computational Simulations of Turbulent Reacting Flows (TV-L 13 Vollzeit)

• Development of in-house codes (CIAO, FlameMaster) for high-fidelity predictive simulations;
• DNS of turbulent fields and consequent theoretical investigation for the development of closure models of turbulence;
• DNS of combustion instabilities and theoretical characterization;
• DNS and LES of multiphase flows for the investigation, characterization and modeling of the mechanisms driving the breakup and evaporation phenomena;
• Soot modeling;
• Machine learning: development of physics guided neural networks;
• Machine learning: use of artificial neural network as model into predictive simulations;
• Simulation of combustion systems (e.g. internal combustion engines, nano-particle synthesis burner, heating devices)