As the third poster prize won by a FAST group member this year — congrats to Joe, whose poster on machine learning potentials for realistic nanoporous carbons (depicted below)...
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.
Isaac wins poster prize
Following up from Willem’s achievement back in April, we are proud to say that Isaac has also won a poster prize at the joint TYC–LJC MMM Conference, with his...
Punting on the River
As a farewell to Lucas’s all-too-short visit, the FAST group headed out yet again to the punts — but this time, to race up and down the River Cam...
Willem’s work wins project
Congratulations to Willem, who won the poster prize at the CCP9 Conference and Community Meeting for his poster on the defect dynamics in Ice Ih, depicted below — well...