Chemical education in digital chemistry


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Date

2024-12-12

Publication Type

Other Journal Item

ETH Bibliography

yes

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Abstract

In this digital age where machine learning has won the Nobel Prizes in both Physics and Chemistry, it is ever more important to give chemistry students an educational advantage that will enable them to use the tools of artificial intelligence and machine learning to enhance both their study experience and their future research. In this Voices article, chemistry education and research experts gather to share their implementation and utilization of these data-driven tools in classes and in labs.

Publication status

published

Editor

Book title

Journal / series

Volume

10 (12)

Pages / Article No.

3519 - 3525

Publisher

Cell Press

Event

Edition / version

Methods

Software

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Date created

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Organisational unit

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