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De Gruyter STEM.
Accelerated materials discovery: how to use artificial intelligence to speed up development / edited by Phil De Luna. — 1 online resource (x, 205 pages) : illustrations (some colour. — (De Gruyter STEM). — <URL:http://elib.fa.ru/ebsco/3175809.pdf>.

Record create date: 3/4/2022

Subject: Materials science — Data processing.; Artificial intelligence — Engineering applications.; Artificial intelligence — Engineering applications.; Materials science — Data processing.

Collections: EBSCO

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Table of Contents

  • 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

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