Machine learning in materials science /

" Machine Learning for Materials Science provides the fundamentals and useful insight into where Machine Learning (ML) will have the greatest impact for the materials science researcher. This digital primer provides example methods for ML applied to experiments and simulations, including the ea...

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Bibliographic Details

Main Authors:	Butler, Keith T. (Author), Oviedo, Felipe (Author), Canepa, Pieremanuele (Author)
Corporate Author:	American Chemical Society
Format:	eBook
Language:	English
Published:	Washington, DC, USA : American Chemical Society, 2022.
Series:	ACS in focus,
Subjects:	Materials > Data processing. Materials science > Mathematical models. Machine learning > Industrial applications. Electronic books.
Online Access:	Connect to the full text of this electronic book