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.
As part of the Cronin Group’s ongoing commitment to open Science, on the 13th Feb 2019, five manuscripts were preprinted on the chemistry server Chemrxiv in order to showcase our future and upcoming work. The five manuscripts are:
A programmable chemical computer with memory and pattern recognition
Exploring the stochasticity of chemical processes in an automated robotic crystallization platform to generate random numbers
3) Intuition-Enabled Machine Learning Beats the Competition When Joint Human-Robot Teams Perform Inorganic Chemical Experiments
Emergence of Function and Selection from Recursively Programmed Polymerisation Reactions in Mineral Environments
Taming Combinatorial Explosion of the Formose Reaction via Recursion within Mineral Environments
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
509. High-Nuclearity Polyoxometalate-Based Metal–Organic Frameworks for Photocatalytic Oxidative Cleavage of C−C Bond
508. Operational considerations for approximating molecular assembly by Fourier transform mass spectrometry
507. Reaction blueprints and logical control flow for parallelized chiral synthesis in the Chemputer
506. Experimentally measured assemblyindices are required to determine the threshold for life
505. Algorithm-driven robotic discovery of polyoxometalate-scaffolding metal–organic frameworks
504. Reaction: Programmable chemputable click chemistry
503. Rethinking pharma and biotech outsourcing: A call for data security and supply chain resilience
502. Delocalized, asynchronous, closed-loop discovery of organic laser emitters
501. Investigating and Quantifying Molecular Complexity Using Assembly Theory and Spectroscopy
500. Electron density-based GPT for optimization and suggestion of host–guest binders