Data-driven Discovery in the Chemical Sciences
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- ISBN 9781837674428
- Weight: 1197g
- Dimensions: 156 x 234mm
- Publication Date: 21 Feb 2025
- Publisher: Royal Society of Chemistry
- Publication City/Country: GB
- Product Form: Hardback
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Big data, machine learning and artificial intelligence are becoming increasingly more central in the chemical sciences. It is important to consider how data drives new discoveries in chemistry at present and how data-driven discovery may develop in the future.
The Faraday Discussion is an excellent format to facilitate in-depth, interdisciplinary discussions between academic and industrial scientists from both molecular and materials fields. This volume offers new insights on how data-driven discovery can advance the chemical sciences.
Bringing together scientists from a wide range of chemical science disciplines to deliberate and examine the ongoing role of data-driven discovery in their fields, this volume discusses both recent developments and future possibilities.
In this volume, the topics covered are organised into the following themes:
- Discovering chemical structure
- Discovering structure–property correlations
- Discovering trends in big data
- Discovering synthesis targets
Faraday Discussions documents a long-established series of Faraday Discussion meetings which provide a unique international forum for the exchange of views and newly acquired results in developing areas of physical chemistry, biophysical chemistry and chemical physics. The papers presented are published in the Faraday Discussion volume together with a record of the discussion contributions made at the meeting. Faraday Discussions therefore provide an important record of current international knowledge and views in the field concerned. The latest (2023) impact factor of Faraday Discussions is 3.3.
