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The Computing Division Technical Meetings are a platform for

  • presenting Pinboard papers under review for journal or conference publication,
  • inviting speakers who are current or prospective UKAEA collaborators at external organisations,
  • presenting work done in PhD projects funded by or co-supervised by UKAEA,
  • presenting work done during summer placements or other secondments to UKAEA.

 

If you would like to invite a speaker on a topic that would be of interest to one or more Units within the Computing Division, but is not currently collaborating on a UKAEA project, please consider nominating them for a Computing Division Cross-Disciplinary Seminar.

These meetings are normally recorded. Recordings of past meetings can be found here:

CD Technical Meetings Archive on UKAEA Sharepoint

CD Technical Meeting (ML2): Data-efficient surrogate models for tokamak digital twins

→ Europe/London
Lorenzo Zanisi (AI/ML)
Description
Machine Learning, Uncertainty Quantification and Data Science 

 

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    • 1
      Talk: Data-efficient surrogate models for tokamak digital twins

      Abstract: Neural surrogate models of physics simulators are emerging ubiquitously in the Fusion community to satisfy the pressing need of fast optimisation tasks and flight simulator applications. However, gathering the training sets for these surrogates can be very expensive, an issue that is particularly crucial for high-fidelity simulators, and storing the data long-term may be impossible. In this talk I will demonstrate methodologies to obtain performing surrogate models at a lower cost in terms of training data, with applications to 0D and 2D datasets and to a reactor-relevant streaming scenario.

      Speaker: Dr Lorenzo Zanisi (AI/ML)
    • 2
      Discussion
      Speaker: Lorenzo Zanisi (AI/ML)
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