Welcome to the mfX research group!
We are a computational group at the University of Edinburgh investigating a range of multiscale flow problems that target important engineering challenges of the 21st century in health, transport, water and energy. Our research spans fundamental engineering science at the nano/micro/meso/macro scales, multiscale method development, highly parallel software development that run on supercomputers, and industry-focused engineering applications.
Examples of our recent work include: non-equilibrium gas transport through porous media for safer oil/gas reservoir management; nano/micro bubble cavitation dynamics for disease targeting; nano/micro-engineered surfaces with improved performance (e.g. anti-icing, marine drag reduction, nanotube water filtration membranes, evaporating cooling nanopipes); liquid-surface damage analysis; granular and pedestrian flow predictions.
We actively collaborate with researchers from the UK and around the world, and engage with various industrial companies to adapt our techniques for their problems.
Duncan recently presented his research on nanobubble modelling with Molecular Dynamics simulations at the ARCHER2 webinar series. In case you missed it, the full webinar is available to watch on YouTube.
We are delighted to welcome Dr. Yuanye Zhou into mfX. Yuanye joins us as a Post-Doctoral Research Associate, working with Livio on machine learning and crowd dynamics. Welcome Yuanye!
We are delighted to welcome Zhaolun Li into mfX. Zhaolun joins us as a PhD student, having completed his MSc at TU Delft. He will be developing machine learning potentials for studying thermal problems at solid-liquid interfaces. Welcome Zhaolun!
Congratulations to Pengxu Chen who won the Early Career category in the ARCHER2 Image Competition 2025!
His winning entry, “Ice is born in vibrating nanopores”, visualises ice nucleation in supercooled water confined within a nanopore with a vibrating wall. The molecular dynamics simulations were performed using LAMMPS on ARCHER2.
Congratulations to Abdullah El-Rifai, Sarah Davidson, Yichong Chen, and Shaokang Li who all graduated with their PhDs on 9 July 2025!
We wish them all the best in their future careers!