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IADS Artificial Intelligence for Materials Discovery Sandpit

20 October 2020

Queen Mary's Institute of Applied Data Science is organising a series of sandpits aiming to propose and develop ideas for new cross-disciplinary research and impact funding calls and programmes.

Our first sandpit is scheduled for Tuesday, 27 October 2020, 14:00-16:00 and has a research theme of 'Artificial Intelligence for Materials Discovery'. This two-hour sandpit workshop will focus on discussing challenges in the artificial intelligence and data science assisted materials discovery.

Materials discovery is a vast space and building on research strengths within the University with certain types of material, there is scope to work on forming cross-disciplinary teams and networking in order to discuss and identify promising new types of AI assisted material discovery for applications in: energy storage and conversion, radiation detection, biomedical technologies.

This event will bring together data science experts and material scientists from across Queen Mary to seed ideas for multi-disciplinary research proposals to tackle challenges related to the discovery of data-driven materials. Interested participants will share their research challenges, propose, discuss and develop ideas for novel projects in theme-specific breakout room discussions. Internal and external funding opportunities will then be briefly presented at the end of the sandpit events. These will include: the recent 1billion Horizon 2020 call for the Green Deal scheme, EPSRC funding, STFC IPS and CLASP 2021 (Challenges: Energy and Healthcare) and internal IAA / Proof of Concept funding.

Event title: AI for Materials Discovery Sandpit
Date and Time: Tuesday, 27 October, 14:00-16:00
Format: virtual event (via Teams)

Please register by sending your expression of interest and a half-a-page synopsis of your expertise and project idea to a.j.bevan@qmul.ac.uk and m.filus@qmul.ac.uk by Friday, 23 October 2020. Please state your affiliation and research expertise, briefly describe the research challenge you are facing and your idea for a research project, state what funding calls in the area of AI/data science/materials discovery you wish to apply in near-future, and what you would like to achieve from participating in this event.

Contact: Dr Michal Filus
Email: m.filus@qmul.ac.uk

Updated by: Michal Filus