Educating Future Chemists in the Age of AI: A Digital Chemistry Course

Authors

  • Lauriane Jacot-Descombes Institute of Chemical and Bioengineering, Department of Chemistry and Applied Biosciences, ETH Zurich, CH-8093 Zurich, Switzerland; NCCR Catalysis, Switzerland https://orcid.org/0009-0000-5385-6054
  • Stefan P. Schmid Institute of Chemical and Bioengineering, Department of Chemistry and Applied Biosciences, ETH Zurich, CH-8093 Zurich, Switzerland; NCCR Catalysis, Switzerland https://orcid.org/0000-0002-0965-0208
  • Kjell Jorner Institute of Chemical and Bioengineering, Department of Chemistry and Applied Biosciences, ETH Zurich, CH-8093 Zurich, Switzerland; NCCR Catalysis, Switzerland https://orcid.org/0000-0002-4191-6790

DOI:

https://doi.org/10.2533/chimia.2025.689

PMID:

41160075

Keywords:

Critical thinking, Digital chemistry, Education, Machine learning

Abstract

Artificial intelligence (AI) and machine learning (ML) are developing fast and are increasingly adopted in both chemical industry and academic research. With the projected role such tools will play in the future, for every chemist, these developments call for a fundamental and sound education for future generations of scientists in these areas. In this perspective, we describe the development of the course Digital Chemistry at ETH Zurich, which addresses these topics. In particular, we outline our approach to teaching ML and its applications in chemistry. We especially emphasize that the skills of understanding, applying and critically assessing ML models will be fundamental for future chemists. We hope that this article will serve as inspiration for educators in this field and help to enhance the teaching in this area of future significance.

Funding data

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Published

2025-10-29

How to Cite

[1]
L. Jacot-Descombes, S. P. Schmid, K. Jorner, Chimia 2025, 79, 689, DOI: 10.2533/chimia.2025.689.