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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Finding Aliens Using a New "Pathway Complexity" Approach

The Cronin group have developed a new approach to complexity, which could help determine if objects such as molecules or artefacts were created by living systems. By this new approach, that we call ‘pathway-complexity’, it is possible to measure the complexity of an object by determining the minimum number of steps it would take to create the object from its simplest components, in which duplication of intermediate structures is permitted. By using this approach, we aim to set a threshold above which the number of steps required at a minimum would be so high that it would be unlikely or impossible for the object to form in abundance without the assistance of biological functions. The publication can be found on the Arxiv pre-print server

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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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