1st Batteries & Supercaps Virtual Symposium on “Machine Learning Applied to Batteries” (Online)

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The free virtual symposium will be chaired by Alejandro Franco, Université de Picardie Jules Verne, France, and features three 20-minute presentations by:

  • Ivano E. Castelli, Technical University of Denmark - DTU, Lyngby, Denmark
    Accelerated Discovery of Battery Electrodes Using an Automatic Workflow, Topology Criteria and Machine Learning
  • Sebastian Thiede, Twente University, The Netherlands
    Machine Learning in Battery Manufacturing – Framework, Potentials and Application Examples
  • David Howey, University of Oxford, UK
    Data-Driven Battery Health Diagnosis in Real-World Applications


1st Batteries & Supercaps Virtual Symposium on “Machine Learning Applied to Batteries”

 

 

 

 

 

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Magazine of Chemistry Europe (16 European Chemical Societies)published by Wiley-VCH