Educating Future Chemists in the Age of AI: A Digital Chemistry Course
OPEN ACCESS
Loading...
Author / Producer
Date
2025-10-29
Publication Type
Journal Article
ETH Bibliography
yes
OPEN ACCESS
Data
Rights / License
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.
Permanent link
Publication status
published
Editor
Book title
Journal / series
Volume
79 (10)
Pages / Article No.
689 - 692
Publisher
Swiss Chemical Society
Event
Edition / version
Methods
Software
Geographic location
Date collected
Date created
Subject
Critical thinking; Digital chemistry; Education; Machine learning
Organisational unit
09781 - Jorner, Kjell / Jorner, Kjell