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DTSTART;TZID=UTC:20260402T100000
DTEND;TZID=UTC:20260402T170000
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SUMMARY:Machine Learning for Experimental Materials Data
DESCRIPTION:KEY DETAILS\n\n\n\n\nDATE2nd April 2026 TIME10:00 – 17:00 Registration fee£0 – IOP & Associate Member      £15 – Student Non-Member £30 – Non-Member Registration Deadline20th March 2026 \n\n\n\nRegisteration now closed\n\n\n\n\n\n\nEVENT LOCATION\n\n\n\n\ninstitute of physics37 Caledonian Rd\, London N1 9BU \n\n\n\n\n\n\n\n\nPlease note: This event has now passed \n\n\n\nJoin our IOP–AIchemy co-sponsored mini-symposium on machine learning for experimental materials data. This event will unite experimentalists and computational scientists to identify shared challenges\, exchange practical solutions\, and showcase how ML accelerates analysis across scattering\, microscopy\, tomography\, and spectroscopy; driving faster\, more insightful materials discovery. \n\n\n\nThis event is open to everyone\, whatever your background — whether you’re a practising physicist or simply curious to explore the subject. \n\n\n\n\n\nSpeakers:\n\n\n\n\nSam Cooper\, Imperial College London\n\n\n\nKim Jelfs\, Imperial College London\n\n\n\nAndrew McClusky\, University of Bristol\n\n\n\nDylan Owen\, University of Birmingham\n\n\n\nRob Palgrave\, University College London\n\n\n\nShijing Sun\, University of Cambridge\n\n\n\nSarah Haigh\, University of Manchester\n\n\n\nShelley Conroy\, Imperial College London \n\n\n\n\n\n\nPoster Abstracts \n\n\n\nWe invite contributions for poster presentations. If you are interested in presenting a poster\, please submit a short abstract (max 250 words) by email to claire.garland@iop.org by 20 March 2026. Posters will be A0 in portrait orientation. \n\n\n\n\n\nOrganised by:\n\n\n\n\nKelvin Wong\, Post Graduate Teaching Assistant – University College London\n\n\n\nKeith Butler\, Associate Professor in Computational Materials Chemistry – University College London\n\n\n\nAron Walsh – Professor at Imperial College & CSO at CuspAI
URL:https://aichemy.ac.uk/event/machine-learning-for-experimental-materials-data/
CATEGORIES:Symposium,Workshop
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