Welcome! I am Dr. Bernat Font (he/his), Assistant Professor in Data-Informed Computational Fluid Dynamics (CFD) at TU Delft. My main research interest focuses on exploiting data to improve current CFD methods in terms of performance, optimization, and modelling. I also enjoy working in the numerical methods and high-performance computing side of CFD.
Some of my current projects involve:
- CFD solver acceleration using generative machine-learning (ML) models
- Deep reinforcement learning for active flow control
- Scale-resolving simulation for high-speed flows using low- and high-order methods
- ML wall modelling for non-equilibrium boundary layers
- PDE discovery from raw data using ML and sparse regression
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WaterLily.jl: A Julia CFD solver using finite-volume and immersed-boundary methods with backend-agnostic execution (CPU/GPU) -
Flower1D.jl: Flux reconstruction fluid flow solver for 1D PDEs written in Julia
I advocate for open-science. Most of my papers have an e-print version you can download for free. The codes I write are also open-source, and you can find them in my Github repository. Please feel free to get in touch for questions, suggestions, or collaborations.
