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AI4SD2022: Interpretable Machine Learning for Materials’ Design & Characterisation – Dr Keith Butler
AI3SD Winter Seminar #3: Enhancing Experiments through Machine Learning Talk 1 - Dr Keith Butler
AI4SD2022: Reinforcement Learning Methods – Dr Stephen Gow
AI4SD2022: The Crystal Isometry Principle – Dr Vitaliy Kurlin
AI4SD2022: Automated Rational Design of Metal-Organic Polyhedra – Dr Aleksandar Kondinski
AI4SD2022: Discovery of Synthesisable Organic Materials – Steven Bennett
How machine learning is revolutionising materials science
DACOMSIN 2021. Session 1. Machine Learning for Materials Science
AI4SD2022: Open Access Publishing & Open Data – Alexander Whiteside
AI4SD2022: Event detection in single-molecule data – Professor Tim Albrecht
AI4SD2022: Making sense of highly flexible molecular simulations – Dr Christof Jager
AI4SD2022: Sharing Data Science Solutions Across Domains via Patterns – Dr Sarah Callaghan