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From alchemist to AI chemist

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Reimagining the training of the next generation of chemists in the era of digital chemistry, automation, robotics and artificial intelligence.

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Fig. 1: The three pillars of digital chemistry.

References

  1. Coley, C. W. et al. A robotic platform for flow synthesis of organic compounds informed by AI planning. Science 365, eaax1566 (2019).

    Article  CAS  PubMed  Google Scholar 

  2. Black, D. & Niu, W. Digital Futures RSC https://go.nature.com/44S77PP (2020).

  3. Beckmann, K. Digital Chemistry. Merck https://go.nature.com/442OuIT (2021).

  4. Baird, S. G. & Sparks, T. D. What is a minimal working example for a self-driving laboratory? Matter 5, 4170–4178 (2022).

    Article  Google Scholar 

  5. St James, A. G. et al. Exploring machine learning in chemistry through the classification of spectra: an undergraduate project. J. Chem. Educ. 100, 1343–1350 (2023).

    Article  Google Scholar 

  6. Nel, M., Potgieter, K., Alimi, O. A., Nel, A. L. & Meijboom, R. The automated synthesis of aspirin: an undergraduate practical activity. J. Chem. Educ. 99, 3773–3779 (2022).

    Article  CAS  Google Scholar 

  7. Li, F. & Cannon, C. DigiFAB and FoNS data science datathon competition: winners announced! Imperial College London https://go.nature.com/3NSkyti (2021).

  8. Feng, J., Huang, S. & Tuladhar, S. The DigiFAB Hackathon 2021: our challenge and how we hacked it. Imperial College London https://go.nature.com/46s07e7 (2021).

  9. Chao, K. W., Lou, Y. & Hoo, W. G. Hack it! Reflecting on the 2021 DigiFAB Hackathon. Advanced Hackspace https://go.nature.com/3NT2r6R (2021).

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Correspondence to Kim E. Jelfs.

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Related links

Advanced Hackspace: https://imperialhackspace.com/

ATLAS: https://www.imperial.ac.uk/automated-high-throughput-platform-suite/

DigiFAB: https://www.imperial.ac.uk/digital-molecular-design-and-fabrication/

Digital methods and computational modelling course: https://go.nature.com/3XPm6Yq

FAIR principles: https://www.go-fair.org/fair-principles/

Lab of the Future course: https://dmf-lab.co.uk/

MSc in Digital Chemistry: https://go.nature.com/44KrZIY

ROAR: https://www.imperial.ac.uk/rapid-online-analysis-of-reactions/

Synthesis 4.0: https://go.nature.com/44NPeSp

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Greenaway, R.L., Jelfs, K.E., Spivey, A.C. et al. From alchemist to AI chemist. Nat Rev Chem 7, 527–528 (2023). https://doi.org/10.1038/s41570-023-00522-w

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