Accelerated Materials Discovery : : How to Use Artificial Intelligence to Speed Up Development / / ed. by Phil De Luna.

Typical timelines to go from discovery to impact in the advanced materials sector are between 10 to 30 years. Advances in robotics and artificial intelligence are poised to accelerate the discovery and development of new materials dramatically. This book is a primer for any materials scientist looki...

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Bibliographic Details
Superior document:Title is part of eBook package: De Gruyter DG Plus DeG Package 2022 Part 1
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Place / Publishing House:Berlin ;, Boston : : De Gruyter, , [2022]
©2022
Year of Publication:2022
Language:English
Series:De Gruyter STEM
Online Access:
Physical Description:1 online resource (X, 205 p.)
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Description
Other title:Frontmatter --
Preface --
Contents --
List of contributors --
1 An overview of accelerated materials discovery --
2 Artificial intelligence for catalysis --
3 Artificial intelligence for materials spectroscopy --
4 Flexible automation for self-driving laboratories --
5 Algorithms for materials discovery --
6 Industrial materials informatics --
About the editor --
Index
Summary:Typical timelines to go from discovery to impact in the advanced materials sector are between 10 to 30 years. Advances in robotics and artificial intelligence are poised to accelerate the discovery and development of new materials dramatically. This book is a primer for any materials scientist looking to future-proof their careers and get ahead of the disruption that artificial intelligence and robotic automation is just starting to unleash. It is meant to be an overview of how we can use these disruptive technologies to augment and supercharge our abilities to discover new materials that will solve world’s biggest challenges. Written by world leading experts on accelerated materials discovery from academia (UC Berkeley, Caltech, UBC, Cornell, etc.), industry (Toyota Research Institute, Citrine Informatics) and national labs (National Research Council of Canada, Lawrence Berkeley National Labs).
Format:Mode of access: Internet via World Wide Web.
ISBN:9783110738087
9783110766820
9783110993899
9783110994810
9783110993448
9783110993219
DOI:10.1515/9783110738087
Access:restricted access
Hierarchical level:Monograph
Statement of Responsibility: ed. by Phil De Luna.