Machine learning in materials informatics methods and applications

"Utilizing Machine Learning in Materials Research. Machine learning has become one of the most exciting tools in materials science in recent years, based on the enormous number of publications and presentations that apply this approach to a broad range of fields. This work provides a comprehens...

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Bibliographic Details
Corporate Author: American Chemical Society Division of Chemical Information
Other Authors: An, Yuling (Editor)
Format: eBook
Language:English
Published: Washington, DC American Chemical Society 2022, 2022
Series:ACS symposium series
Subjects:
Online Access:
Collection: ACS Symposium Series - Collection details see MPG.ReNa
Description
Summary:"Utilizing Machine Learning in Materials Research. Machine learning has become one of the most exciting tools in materials science in recent years, based on the enormous number of publications and presentations that apply this approach to a broad range of fields. This work provides a comprehensive overview of how machine learning can be applied in various fields of materials science research to improve the efficiency and effectiveness of many challenging projects. Featuring concrete case studies with in-depth discussion, this work will inspire materials scientists to explore the potential of machine learning technology to expedite materials innovation."--
Item Description:Distributed in print by Oxford University Press
Physical Description:266 pages illustrations
ISBN:9780841297623