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PUBLICATIONS

Advances and Trends in Machine Learning and Artificial Intelligence: A Polymer Perspective

Published

Author(s)

Tyler Martin, Debra Audus

Abstract

Here we highlight recent advancements in informatics, machine learning, and artificial intelligence as applied to the fields of polymer physics and chemistry. In particular, we focus on the unique challenges presented by polymers and how the field is attempting to solve them. We also discuss some advances in other fields of science (hard materials, chemistry) and how these advances might be leveraged for polymer studies. Finally, we provide an outlook for the field and highlight important areas for growth in polymer informatics, machine learning, and artificial intelligence.
Citation
ACS Polymers Au
Pub Type
Journals

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Local Download
Polymers, Modeling and computational material science, Materials characterization, Machine learning and Applied AI

Citation

Martin, T. and Audus, D. (2023), Advances and Trends in Machine Learning and Artificial Intelligence: A Polymer Perspective, ACS Polymers Au, [online], https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=935476 (Accessed April 19, 2024)

Created January 18, 2023, Updated March 1, 2023