Dylan Rubini
EPSRC IAA Doctoral Impact Postdoctoral Scholar in Computational Engineering at University of Oxford in the Sustainable Thermal Energy and Power Systems Group (The Rosic Group) of the Oxford Thermofluids Institute and the Drapers Company Junior Research Fellow in Engineering.
About Me
I am a mechanical and thermofluids engineer who enjoys working at the intersection of multiphysics modelling, computational science, and machine learning. My current research focuses on developing multiphysics modelling tools accelerated by multifidelity machine learning, which can enable the transition to a zero-carbon society.
Selected Research Projects
I have worked on a variety of projects, including, but not limited to:
- Accelerating Chemically Reacting Flow Simulations: Using machine learning to elegantly speed up simulations of chemically reacting flows by three orders of magnitude.
- Developing a 3D Viscous Unstructured Turbomachinery Flow Solver: Creating an unstructured mesh flow solver designed for both multiple GPUs and CPUs.
- Chemical Kinetic Solvers with Embedded Multi-Objective Optimizers: Developing solvers that incorporate multi-objective optimization techniques for improved reaction performance.
- High-Fidelity Computational Fluid Dynamics (CFD): Using high-fidelity CFD to investigate complex aerothermal, supersonic, highly turbulent interactions in a novel turbomachinery concept aimed at decarbonizing over 40 high-temperature processes.
Selected Publications
- J. Chem. Eng.Efficient Modeling of Aerochemical Interactions in Novel Turbomachines for Conducting Low-Carbon Chemical ReactionsJournal of Chemical Engineering (In Preparation), Jan 2025
- ASME JTA Novel Axial Energy-Imparting Turbomachine for High-Enthalpy Gas Heating: Robustness of the Aerodynamic Design (**Best Paper Award**)ASME Journal of Turbomachinery, Nov 2023
- GPPSDecarbonisation of High-Temperature Endothermic Chemical Reaction Processes using a Novel Turbomachine: Robustness of the Concept to Feed Variability (**Best Paper Award**)Journal of the Global Power and Propulsion Society, May 2024