International workshop on machine learning and data analytics in advanced metals processing
This workshop will explore the use of machine learning techniques in alloy design and metals processing. It will bring together experts in computational materials design, machine learning and high-performance computing with those in metallurgy and materials characterisation to consider the particular challenges in exploiting modern computational methods in designing new metallic materials and to explore opportunities and exchange ideas for major collaborative projects. Please see the Background page for further information about the background to and motivation for the workshop.
Confirmed invited speakers
Richard Anderson (Hartree Centre, STFC, Daresbury)
Gareth Conduit (University of Cambridge)
Gábor Csányi (University of Cambridge)
Douglas Kell (University of Manchester)
Nicola Marzari (École Polytechnique Fédérale de Lausanne, EPFL)
Joerg Neugebauer (Max Planck Institut fuer Eisenforschung, MPIE)
Dave Rugg (Rolls-Royce)
Hauke Springer (Max Planck Institut fuer Eisenforschung, MPIE)
Iain Todd (University of Sheffield)
Thanks to funding from the University of Manchester, registration is free of charge and includes refreshments, lunch on both days and a workshop dinner on the evening of the 22nd. There is space in the programme for contributed talks and boards will be provided to exhibit posters for viewing during breaks.
Deadline for registration is Friday 14th April - places are limited to a total of 40 attendees. In the event that the workshop is over-subscribed, attendees will be selected to achieve a balance of representation across fields and institutions.
To register, please fill out the short form on the registration page
For further information, please contact Chris Race (firstname.lastname@example.org)
School of Materials (MSS Tower), University of Manchester, Manchester, UK
(The School of Materials is a 5 minute walk from Manchester Piccadilly Station, which is 15 minutes by train from Manchester Airport. For more detailed travel information, see the Travel and Accommodation page.)