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iDMT Lecture Series

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The series is focussed on dissemination of cutting-edge developments related to the many facets of chemistry digitalisation. Each session has two speakers, providing an engaging discussion from both an academic and an industry perspective on a common theme. Topics include Lab Automation, Machine Learning, Big Data Networks, Digital Twins in Chemical in Chemical Processes, Future Catalyst Design, Reaction Prediction Methods, Formulations in Material Sciences and High-Throughput Techniques,

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If you have a question about this list, please contact: Kerstin Enright. If you have a question about a specific talk, click on that talk to find its organiser.

0 upcoming talks and 3 talks in the archive.

Machine Learning-based prediction Methods

In person only event

UserProf Jonathan Goodman (University of Cambridge) & Dr Jason Cole (CCDC).

HouseYsusf Hamied Department of Chemistry (Pfizer lecture theatre).

ClockMonday 20 May 2024, 15:00-16:00

Digital Twins

In person only event

UserJiaru Bai (University of Cambridge) & Dr Amit Bhave (CMCL).

HouseDepartment of Chemistry (Pfizer lecture theatre).

ClockTuesday 06 February 2024, 15:00-16:00

Machine Learning

In person only event

UserProf Miguel Hernandez Lobato, Dept of Engineering, University of Cambridge & Ben Pellegrini, Intellegens Ltd.

HouseDepartment of Chemistry (Pfizer lecture theatre).

ClockTuesday 09 January 2024, 15:00-16:00

Please see above for contact details for this list.

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