ALU CHINA
Description
Join us for the 'Machine Learning for Experimental Materials Data' mini-symposium, co-sponsored by IOP–AIchemy, taking place at the Institute of Physics in London, United Kingdom. This event is designed to bring together experimentalists and computational scientists to address shared challenges in the realm of experimental materials data. Attendees will have
Highlights
Co-sponsored by IOP and AIchemy, focusing on machine learning applications in experimental materials data. Brings together experimentalists and computational scientists to address shared challenges and exchange solutions. Showcases how machine learning accelerates analysis in scattering, microscopy, tomography, and spectroscopy. Features speakers from leading institutions such as Imperial College London, University of Bristol, and University of Cambridge. Open to all, regardless of background, including practicing physicists and those curious about the subject. Registration is free for IOP members; fees apply for non-members and students. Event date: April 2, 2026, from 10:00 to 17:00. Location: Institute of Physics, 37 Caledonian Road, London N1 9BU. Registration deadline: March 20, 2026. Organized by Kelvin Wong (UCL), Keith Butler (UCL), and Aron Walsh (Imperial College & CuspAI).
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Effy Salhov
Theme:beauty
Kudakwashe Kanhutu
Theme:Director General
Dhaval Patel
Theme:Digital Marketing Manager
Willy Mutenza
Theme:Chairman
Mukesh Aggarwal
Theme:Ceo
Barry Cannon
Theme:Partner
Yasir Habib
Theme:Sales Executive
Gena Kerr
Theme:London, United Kingdom
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