Machine Learning for Battery Research Workshop

This one-day workshop aims to showcase the progress at the frontiers of battery research with a specific focus on the applications of machine learning and data-driven techniques.


The areas of focus will be:

  1. Materials Discovery – use of machine learning techniques along with DFT, MD calculations for fundamental understanding
  2. Data Processing – use of machine learning techniques to process, analyse, and understand data such as in tomographic imaging and fabrication process optimisation
  3. Diagnostics and Ageing – use of machine learning techniques to forecast battery state of health, degradation, ageing. 

To register for this free event please click here. Please register by 28 February to secure your place.


We are pleased to announce the following speakers:

Arghya Bhowmik (Technical University of Denmark)

Gabor Csanyi (University of Cambridge)

Marc Duquesnoy (University of Picardie, France)

Xuekun Lu (University College London)

Andrea Gayon Lombardo (Imperial College London)

Harry Hoster (Lancaster University)

David Howey (University of Oxford)

Dhammika Widanalage (University of Warwick)

Ben Smith (University of Cambridge)


The programme for the day can be found here.


Directions to St Peter's College, Oxford can be found here