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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New gigantic Palladium macrocycle opens the way to a library of nano-structures

Cronin group researchers have developed a new screening approach to cluster discovery, which could pave the way for developing a new library of nano-structures. By using a new modular approach to construction of the giant Pd84 wheel, other ligands were incorporated and two new macrocycles were discovered. These results show Palladium clusters to be a new class of tunable nanostructures, and it is hoped that the solution screening approach could lead to the discovery of large inorganic nanostructures without the need for crystallisation.

Link to full paper (open access).

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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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509. High-Nuclearity Polyoxometalate-Based Metal–Organic Frameworks for Photocatalytic Oxidative Cleavage of C−C Bond

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508. Operational considerations for approximating molecular assembly by Fourier transform mass spectrometry

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507. Reaction blueprints and logical control flow for parallelized chiral synthesis in the Chemputer

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506. Experimentally measured assemblyindices are required to determine the threshold for life

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505. Algorithm-driven robotic discovery of polyoxometalate-scaffolding metal–organic frameworks

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504. Reaction: Programmable chemputable click chemistry

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503. Rethinking pharma and biotech outsourcing: A call for data security and supply chain resilience

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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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