Machine Learning for Experimental Materials Data
Join our IOP–AIchemy co-sponsored mini-symposium on machine learning for experimental materials data.
9 events found.
Events
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CaMMLs – Chemical and materials machine learning school 2026
13th April – 17th April 2026
The CaMML School is a five-day programme designed to This training will encompass a number of talks and practical sessions, focusing on the basics of machine learning, machine learning interatomic potentials and graph neural networks.
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Applications of AI for Catalysis and Energy Materials Discovery
Join us for a one-day symposium bringing together researchers working in catalysis and energy materials with AI experts developing and applying machine learning methods in this space.
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ECR Exchange: Scotland 2026
2 June 2026
The AIchemy ECR Exchange is primarily aimed at Early Career Researchers across the UK, including PhD students and postdoctoral researchers working at the intersection of AI and Chemistry.
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Science in the City: An Evening of AI
18 June 2026
Step into the world of AI and see how it’s shaping science, healthcare, and innovation across Liverpool and the UK.
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Gen AI In Chemistry Education
21 July 2026
This UK national workshop brings together chemistry educators, students, and policy leads to accelerate the integration of Generative AI (GenAI) methods in chemistry education. Building on last year’s event, the focus moves decisively beyond abstract debate toward classroom-ready practice, shared resources, and cross-institutional learning.
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Chemical Artificial Intelligence in Homogeneous Catalysis (ChemAICat) Workshop
1 – 3 September 2026
The Chemical Artificial Intelligence in Homogeneous Catalysis (ChemAICat) workshop held at University of Liverpool offers a practical guide to different AI techniques that can be applied to accelerate or complement research in homogeneous catalysis.
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Winter School: Robotics and AI for Materials Chemistry 2026
23 – 27 November 2026
The Robotics and AI for Materials Chemistry Winter School is a five-day intensive training programme focused on digital and automated chemistry, robotic systems, and AI-driven scientific discovery.
