KEY DETAILS

  • START DATE/TIME

    6 January 12:00

  • END DATE/TIME

    8 January 14:30

  • COST

    £195 standard registration | £90/night college accommodation (limited places)

  • REGISTRATION DEADLINE

    16 December 2026 (earlier if capacity reached).

EVENT LOCATION

  • Computational software for defect modelling — with a particular focus on challenges, reproducibility and future outlook.
  • Theoretical and methodological advances — machine-learning approaches (machine-learned potentials, informatics and agentic AI methods), high-throughput studies, and embedding & beyond-DFT methods.
  • Applications and case studies — including energy conversion, catalysis, quantum information and conductivity.
  • Challenges at the cutting edge — defect databases for AI/ML, charge featurisation for machine-learned potentials, extended defects, dynamic processes and excited states.
Prof. Sir Richard Catlow

Prof. Sir Richard Catlow

Dr. Joel Davidsson

Dr. Joel Davidsson

Dr. Irea Mosquera-Lois

Dr. Irea Mosquera-Lois

Prof. Elif Ertekin

Prof. Elif Ertekin

Dr. Menglin Huang

Dr. Menglin Huang

Dr. Katherine Inzani

Dr. Katherine Inzani

Prof. Arkady V. Krasheninnikov

Prof. Arkady V. Krasheninnikov

Prof. David Scanlon

Prof. David Scanlon

Prof. Alex Shluger

Prof. Alex Shluger

Dr. Gergo Thiering

Dr. Gergo Thiering

Dr. Mark Turiansky

Dr. Mark Turiansky

Prof. Julia Wiktor

Prof. Julia Wiktor

The Organising Committee:

OrganiserAffiliation
Dr. Seán Kavanagh (lead) Yusuf Hamied Department of Chemistry, University of Cambridge
Prof. Keith McKenna Department of Physics, University of York
Dr. Alexander SquiresCuspAI, Cambridge, UK
Prof. Samuel MurphySchool of Engineering, Lancaster University

Sponsors: