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DTSTART:20230101T000000
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DTSTART;TZID=UTC:20241120T130000
DTEND;TZID=UTC:20241120T140000
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UID:2128-1732107600-1732111200@aichemy.ac.uk
SUMMARY:AIchemy’s Monthly Webinar Series - November 2024
DESCRIPTION:KEY DETAILS\n\n\n\n\nDATE20 November\, 2024 TIME13:00 – 14:00 COSTFree \n\n\n\nREGISTRATION CLOSED\n\n\n\n\n\n\nRECORDINGSClick the YouTube links below to watch each session. \n\n\n\n\nSelf-Optimising Approaches for Flow Synthesis HypBO: Accelerating Black-Box Scientific Experiments Using Experts’ Hypotheses \n\n\n\n\n\n\n\n\nWe are delighted to welcome you to the next session of our AIchemy Hub’s monthly webinar series. \n\n\n\nThis month’s talks: \n\n\n\nDr. Adam Clayton – Self-Optimising Approaches for Flow Synthesis \n\n\n\nDr Adam Clayton’s talk will cover how machine learning and adaptive algorithms like the Adaptive Latent Bayesian Optimiser (AlaBO) can streamline the optimisation of complex\, multistep chemical reactions\, improving efficiency in flow chemistry. He will introduce a new (AlaBO) algorithm\, designed to enhance the development of mixed variable catalytic reactions. \n\n\n\nAbdoulatif Cisse – HypBO: Accelerating Black-Box Scientific Experiments Using Experts’ Hypotheses \n\n\n\nAbdoulatif Cisse’s talk will explore how expert human hypotheses can be integrated with Bayesian optimisation to quickly navigate large\, unexplored scientific search spaces\, particularly in fields like materials discovery. Learn how this method improves the efficiency of search processes\, achieving faster and more accurate results in complex experiments. \n\n\n\nFollowing the presentations\, there will be time for questions from the audience. \n\n\n\n\n\nSpeakers\n\n\n\n\n\nDr. Adam Clayton Associate Professor\n\n\n\n\n\nAbdoulatif Cisse Research Postgraduate\n\n\n\n\n\nTahereh Nematiaram –  Webinar Chair Strathclyde Chancellor’s Fellow
URL:https://aichemy.ac.uk/event/aichemys-monthly-webinar-series-nov/
CATEGORIES:Webinar
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