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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Cronin Group Digital Chemistry Programme Grant Day

Prof Cronin and the Cronin Group were happy to welcome visitors from EPSRC, BAE systems, University of Palermo and University of Bath, as well as academics and researchers from the University of Glasgow, to participate in the annual meeting for Prof Cronin’s EPSRC “Digital Synthesis” Programme grant. The day involved several exciting talks and discussion sessions from Cronin Group researchers on work funded by the grant, covering topics such as AI in chemistry, chemical robotics and algorithms.

In the picture (L to R): Bruno Pignataro (Palermo), Paul Raithby (Bath), Lee Cronin (Glasgow), Christina Turner (EPSRC), Nick Colosimo (BAE Systems)

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Prof. Leroy (Lee) Cronin

Prof Leroy (Lee) Cronin
Regius Chair of Chemistry
Cronin Laboratory
School of Chemistry
Joseph Black Building
University of Glasgow
Glasgow G12 8QQ
Tel: +44 141 330 6650
Email: lee.cronin@glasgow.ac.uk

Latest Publications

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452. [Fe15]: a frustrated, centred tetrakis hexahedron

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451. Robotic Stepwise Synthesis of Hetero-Multinuclear Metal Oxo Clusters as Single-Molecule Magnets

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450. Standardization and Control of Grignard Reactions in a Universal Chemical Synthesis Machine using online NMR

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449. A robotic prebiotic chemist probes long term reactions of complexifying mixtures

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448. Identifying molecules as biosignatures with assembly theory and mass spectrometry

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447. A molecular computing approach to solving optimization problems via programmable microdroplet arrays

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446. Influence of the Contact Geometry and Counterions on the Current Flow and Charge Transfer in Polyoxometalate Molecular Junctions: A Density Functional Theory Study

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445. Elucidating the Paramagnetic Interactions of an Inorganic-Organic Hybrid Radical-Functionalized Mn-Anderson Cluster

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444. Automatic Generation of 3D-Printed Reactionware for Chemical Synthesis Digitization using ChemSCAD

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443. Optimization of Formulations Using Robotic Experiments Driven by Machine Learning DoE


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