Computing Division Cross-Disciplinary Seminars (2026)

Europe/London
Culham/Remote

Culham/Remote

Aravinda Perera (Plasma Simulation)
Description

The monthly Computing Division Cross-Disciplinary Seminars complement the Computing Division Technical Meetings.

They are intended to provide a spotlight to invite external speakers working on both new and well-established 

  • computational methods,
  • frameworks,
  • software,
  • practices,
  • and other advancements

in non-fusion fields and sectors, or within groups working in fusion but are not currently collaborating with UKAEA, and could be of interest to the UKAEA computing community.

These seminars are normally recorded. Recordings of previous seminars can be found here:

Computing Division Cross-Disciplinary Seminar recordings

From the same series
1
  • Tuesday 24 February
    • ML/AI, UQ and Data Science: GPGreen: Learning Linear Operators with Gaussian Processes
      Conveners: Thomas Cowperthwaite (University of Cambridge), Henry Moss (Lancaster University)
      • 1
        GPGreen: Learning Linear Operators with Gaussian Processes

        Thomas Cowperthwaite
        Applied Mathematics PhD Student, DAMTP, University of Cambridge

        Henry Moss
        Lecturer, School of Mathematical Sciences, Lancaster University and
        Early Career Research Fellow, University of Cambridge

        Abstract

        Operator learning has emerged as a promising data-driven approach to emulating solutions of partial differential equations (PDEs). Existing deep learning-based models lack principled uncertainty quantification, rely on access to large numbers of training examples, and remain largely uninterpretable. Here, we use Gaussian process regression to make uncertainty-aware estimates of PDE solutions. We show our method is competitively accurate compared to existing approaches, while additionally providing uncertainty quantification and improving sample efficiency. The framework exploits Kronecker structures and Fast Fourier Transforms to achieve resolution-invariant prediction cost scaling.

        Speaker: Mr Thomas Cowperthwaite (University of Cambridge)
  • Wednesday 25 March
    • Numerical Methods: Energy-preserving coupling of explicit particle-in-cell with Monte Carlo collisions
      Convener: Aravinda Perera (Plasma Simulation)