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.

Cronin Group in Molecular Flash Memory Breakthrough

In the latest issue of Nature, the Cronin group have described a new molecule with unprecedented characteristics that could revolutionise flash memory storage. This breakthrough has the potential to bust Moore’s law, and allow for ground-breaking improvements in storage technology, potentially resulting in multiple bits of storage on a single molecule.

The team, led by Prof Cronin, also included researchers from the University of Glasgow School of Engineering and Rovira i Virgili University in Spain. This work has been reported in several major media outlets, including the BBC, the Hindu, RTVE, and Wired.

Link to journal article at

News item in the Hindu

News item on

News item on the BBC Website

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

Latest Publications


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


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


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


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


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


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


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


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


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


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

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