Konstantina Vogiatzaki

Within my group we develop multi-scale simulation techniques combined with High Performance Computing (and more recently Machine Learning) that support the virtual design and optimisation of complex systems such as energy, propulsion and biomedical systems. My most recent research focuses on the development of novel modelling techniques of fluid behaviour at extreme pressure and temperature conditions such as the dynamics of cryogenic fluids, flammable fluids and supercritical fluids. My research interests are: - Cryogenic Fluid Dynamics - Supercritical flows - Alternative fuels with focus on hydrogen and ammonia - Net Zero Propulsion Systems - Sustainable energy solutions including Cooling, Carbon Capture and Energy Storage - Fundamental modelling of multiphase flows (droplets, bubbles, and sprays) - CFD, HPC and ML

Scientific machine learning based framework to forecast time evolving pressure signals during hydrogen leaks (2025) - http://doi.org/10.1016/j.ijhydene.2025.150951 Comparison of cryogenic and non-cryogenic droplet impact dynamics at low Weber numbers (2025) - http://doi.org/10.1038/s41598-025-90974-5 Mixing and warming characterisation of cryogenic hydrogen jets through proper orthogonal decomposition (2024) - http://doi.org/10.1115/ICEF2024-140954 Impact of thermo-physical model and mixing method on the trans- and supercritical injection simulation of liquid hydrogen (2024) - http://doi.org/10.1016/j.ijhydene.2024.09.291 Three-component volume of fluid method coupling with interface compression method and Eulerian–Lagrangian spray atomization surface density model for prediction of cavita