Computational Methods for Defects in Solids Workshop, 6–8 January 2027, at University of Cambridge UK

KEY DETAILS

  • DATE

    6 – 8 January 2027

  • TIME

    Wed 6 Jan, 12:00 – Fri 8 Jan, 14:30 Registration opens at 12:00; lunch served until 14:30 on Friday.

  • COST

    £90 standard registration | £285 registration + 3 nights’ college accommodation (limited places)

  • REGISTRATION DEADLINE

    3 January 2027 (earlier if capacity reaches 150).

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.
Dr. Joel Davidsson

Dr. Joel Davidsson

Medicinal Chemistry

Dr. Irea Mosquera-Lois

Dr. Irea Mosquera-Lois

Medicinal Chemistry

Prof. Elif Ertekin

Prof. Elif Ertekin

Medicinal Chemistry

Dr. Menglin Huang

Dr. Menglin Huang

Postdoctoral researcher

Dr. Katie Inzani

Dr. Katie Inzani

Postdoctoral researcher

Prof. Arkady V. Krasheninnikov

Prof. Arkady V. Krasheninnikov

Postdoctoral researcher

Prof. David Scanlon

Prof. David Scanlon

Medicinal Chemistry

Prof. Alex Shluger

Prof. Alex Shluger

Medicinal Chemistry

Dr. Gergo Thiering

Dr. Gergo Thiering

Medicinal Chemistry

Dr. Mark Turiansky

Dr. Mark Turiansky

Postdoctoral researcher

Prof. Julia Wiktor

Prof. Julia Wiktor

Postdoctoral researcher

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. Alex SquiresSchool of Chemistry, University of Birmingham
Prof. Samuel MurphySchool of Engineering, Lancaster University

Sponsors: