Event Details

The purpose of the workshop is to discuss the latest methods of rigidity theory, geometric data science and artificial intelligence for real objects such as, but not limited to, solid 3D materials (periodic crystals or polymers) and molecular graphs including proteins, and more complex 3D genome structures.

Organised by Vitaliy Kurlin (Computer Science, Liverpool), Anthony Nixon (Mathematical Sciences, Lancaster) and Abbie Trewin (Chemistry, Lancaster) and jointly funded by Lancaster's Data Science Institute and Mathematics for AI and Real-world Systems project.

Confirmed speakers:

• Murad Banaji (Oxford)
• William Jeffcott (Liverpool)
• Matthias Himmelman (TU Braunschweig)
• Jonathan McManus (Liverpool)
• Catherine Mollart (Birmingham)
• Therese Malliavin (Lorraine)
• Henry Moss (Lancaster)
• Lilja Metsalampi (Aalto)
• Michael Peach (Lancaster)
• Bernd Schulze (Lancaster)
• Ellena Sherrett (Lancaster)
• Jack Trainer (Lancaster)
• Daniel Widdowson (Liverpool)
• Andrea Fusiello (Universita' degli Studi di Udine)
• Jiayi Li (Max Planck Institute)
• Louis Theran (St Andrews)

Sign up via Eventbrite - Ai and Data Science for Material Innovations