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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Prof Lee Cronin named as one of UK's most inspirational scientists

Prof Lee Cronin is one of 10 the UK’s most inspirational scientists and engineers named as RISE Leaders for 2014 by the Engineering and Physical Sciences Research Council (EPSRC). Their contribution to science covers a broad range of disciplines and highlights the diversity and impact of the engineering and physical sciences.

The RISE campaign, in partnership with the Royal Academy of Engineering, was launched by the Science Minister David Willetts in November 2013 to mark the 20th anniversary of EPSRC.

For more information see the University of Glasgow press release, and the EPSRC RISE awards announcement page.

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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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