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Machine Learning for Polymeric Materials: an Introduction by Morgan M Cencer; Jeffrey S Moore; Rajeev S Assary is a Materials Science article available to read on EtoBox.

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## Abstract Polymers are incredibly versatile materials and have become ubiquitous. Increasingly, researchers are using data science and polymer informatics to design new materials and understand their structure–property relationships. Polymer informatics is an emerging field. While there are many useful tools and databases available, many are not widely utilized. Herein, we introduce the field of polymer informatics and discuss some of the available databases and tools. We cover how to share polymer data, approaches for preparing a dataset for machine learning and recent applications of machine learning to polymer property prediction and polymer synthesis. © 2021 Society of Industrial Chemistry.

Who reads Machine Learning for Polymeric Materials: an Introduction?

Author

Morgan M Cencer; Jeffrey S Moore; Rajeev S Assary

Publisher

Wiley

Published

2021

Language

EN

Field

Materials Science (Physical Sciences)