The research aim of the SCAMs@bristol group is to develop powerful analysis methods for data from experiments and simulations, by including what we already know about the world — some may call this physics-informed modelling. These methods make use of cutting-edge tools developed in the data science community to ensure the maximum information is obtained from the measurement.

We believe that the next generation of data analysis will be built on an understanding of the fundamental chemistry and physics of the systems of interest.

Webpage: scams-research.github.io