The Cronin Group

Research in the Cronin Group is motivated by the fascination for complex chemical systems, and the desire to construct complex functional molecular architectures that are not based on biologically derived building blocks.


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Robots VS Humans in the search for chemical intelligence

A new paper has just been published by the Cronin group that shows how machine learning can be used to search for new molecules and crystals of those molecules more efficiently that either a human experimenter or a random algorithm. This paper outlines part of the Cronin Group’s digital chemistry vision to help human experimenters enhance their work by using machine learning and artificial intelligence combined with chemical search systems.

News articles featuring this work have been published in Chemistry World and at ChemEurope.com.

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Prof. Leroy (Lee) Cronin

Prof Leroy (Lee) Cronin
Regius Chair of Chemistry
Advanced Research Centre (ARC)
Level 5, Digital Chemistry
University of Glasgow
11 Chapel Lane
Glasgow G11 6EW
Tel: +44 141 330 6650
Email: lee.cronin@glasgow.ac.uk

Latest Publications

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502. Delocalized, asynchronous, closed-loop discovery of organic laser emitters

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501. Investigating and Quantifying Molecular Complexity Using Assembly Theory and Spectroscopy

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500. Electron density-based GPT for optimization and suggestion of host–guest binders

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499. Evidence of Selection in Mineral Mediated Polymerization Reactions Executed in a Robotic Chemputer System

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498. A programmable hybrid digital chemical information processor based on the Belousov-Zhabotinsky reaction

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497. An integrated self-optimizing programmable chemical synthesis and reaction engine

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496. Autonomous execution of highly reactive chemical transformations in the Schlenkputer

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495. Universal chemical programming language for robotic synthesis repeatability

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494. Bringing digital synthesis to Mars

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493. An Autonomous Electrochemical Discovery Robot that Utilises Probabilistic Algorithms: Probing the Redox Behaviour of Inorganic Materials


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