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 leanring 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. 

 

Confirmed speakers include Professor Harry Hoster, Lancaster University. More information to follow. 

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

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