Lecture Series 2023/24
The Lecture Series is focused on dissemination of cutting-edge developments related to the many facets of chemistry digitalisation. Each hour-long session usually has two speakers, providing an engaging discussion from both an academic and industry perspective on a common theme.
Please note that all talks are in person only events unless otherwise stated.
TBC
Tuesday 9th May 2024, Yusuf Hamied Department of Chemistry, Pfizer Lecture Theatre, 15:00 - 16:00
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tbc
Full details to follow
Digital Twins
Tuesday 6th February 2024, Pfizer Lecture Theatre
"A dynamic knowledge graph approach to dynamic knowledge graph approach to distributed self-driving laboratories"
"Automated laboratory management, powered by The World Avatar™ ecosystem"
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Machine Learning
Tuesday 9th January 2024, Pfizer Lecture Theatre
"Calling up Gaussian processes with stochastic gradient descent"
"Deploying machine learning in chemical industry"
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Big data, data preparation
Tuesday 7th November 2023, Pfizer Lecture Theatre
"Exploring reaction data for machine learning"
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Laboratory Automation
Tuesday 10th October 2023, Pfizer Lecture Theatre
"pHbot: Self-driven robot for pH adjustment of viscous formulations via physics-informed-ML"
"Modular automation of reactors"
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Academic Talk
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Industry Talk
Artificial intelligence and Automation in Chemical Kinetic Modeling
Tuesday 24th August 2023, Pfizer Lecture Theatre
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