Welcome to the FAST group!

We are a group of computational scientists fascinated by the study of challenging materials, mostly involving water, which are achievable only by extending the frontiers of atomistic simulation techniques.

In recent times, we primarily focus on developing machine learning potentials in order to provide insight into complex aqueous systems, for which accurate and efficient representations of potential energy surfaces are urgently needed.

Our research portfolio comprises the following techniques:

  • Machine Learning Potentials, Neural Network Potentials, Active Learning
  • Ab Initio Molecular Dynamics, Density Functional Theory
  • Nuclear Quantum Effects, Path Integral Molecular Dynamics and Monte Carlo, Bosonic Exchange
  • Reaching Coupled Cluster Accuracy

Find out more about our research under Research!

The FAST group is associated with both the Theory of Condensed Matter group, as well as the Lennard-Jones Centre.

Punting on the River

To celebrate Lars’s successful PhD viva, the FAST group headed out to the punts to drift lazily down the River Cam (after all, what better way is there to...

June BBQ

We decided to take advantage of the great weather, and held a (veggie-friendly) BBQ party at Wolfson College! Some good fun was also had afterwards throwing/kicking a ball around....

FAST goes to the

Apparently the parkruns weren’t enough: Christoph, Darren, Isaac, Niamh, and Xavi decided to test their allegiance to the FAST name, and prove themselves at the Cambridge Half-Marathon! We were...

Winter 2024 group event

To celebrate the upcoming Christmas, we decided to take our theories of solid water and put them into practice – by demonstrating how to skate on it! We were...