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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Novelty Algorithm Points the Way for Discovery in Organic Chemistry

In a recent review published in Nature Reviews Chemistry, Cronin group researchers describe how machine learning, coupled with real-time chemistry, is set to change the way chemists discover molecules, reactions and reactivity, as well as removing researcher bias. The systems discussed would remove the need to have an biased human chemist making judgements, in favour of searching chemical space using automation and algorithms. This approach will improve the probability of discovery, and promises to yield not only new molecules but also unpredictable and thus novel reactivity.

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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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