Emerging Trends in Machine Learning: A Polymer Perspective

[Image: see text] In the last five years, there has been tremendous growth in machine learning and artificial intelligence as applied to polymer science. Here, we highlight the unique challenges presented by polymers and how the field is addressing them. We focus on emerging trends with an emphasis...

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Detalles Bibliográficos
Autores principales: Martin, Tyler B., Audus, Debra J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Chemical Society 2023
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10273415/
https://www.ncbi.nlm.nih.gov/pubmed/37334191
http://dx.doi.org/10.1021/acspolymersau.2c00053
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author Martin, Tyler B.
Audus, Debra J.
author_facet Martin, Tyler B.
Audus, Debra J.
author_sort Martin, Tyler B.
collection PubMed
description [Image: see text] In the last five years, there has been tremendous growth in machine learning and artificial intelligence as applied to polymer science. Here, we highlight the unique challenges presented by polymers and how the field is addressing them. We focus on emerging trends with an emphasis on topics that have received less attention in the review literature. Finally, we provide an outlook for the field, outline important growth areas in machine learning and artificial intelligence for polymer science and discuss important advances from the greater material science community.
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spelling pubmed-102734152023-06-17 Emerging Trends in Machine Learning: A Polymer Perspective Martin, Tyler B. Audus, Debra J. ACS Polym Au [Image: see text] In the last five years, there has been tremendous growth in machine learning and artificial intelligence as applied to polymer science. Here, we highlight the unique challenges presented by polymers and how the field is addressing them. We focus on emerging trends with an emphasis on topics that have received less attention in the review literature. Finally, we provide an outlook for the field, outline important growth areas in machine learning and artificial intelligence for polymer science and discuss important advances from the greater material science community. American Chemical Society 2023-01-18 /pmc/articles/PMC10273415/ /pubmed/37334191 http://dx.doi.org/10.1021/acspolymersau.2c00053 Text en Not subject to U.S. Copyright. Published 2023 by American Chemical Society https://creativecommons.org/licenses/by/4.0/Permits the broadest form of re-use including for commercial purposes, provided that author attribution and integrity are maintained (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Martin, Tyler B.
Audus, Debra J.
Emerging Trends in Machine Learning: A Polymer Perspective
title Emerging Trends in Machine Learning: A Polymer Perspective
title_full Emerging Trends in Machine Learning: A Polymer Perspective
title_fullStr Emerging Trends in Machine Learning: A Polymer Perspective
title_full_unstemmed Emerging Trends in Machine Learning: A Polymer Perspective
title_short Emerging Trends in Machine Learning: A Polymer Perspective
title_sort emerging trends in machine learning: a polymer perspective
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10273415/
https://www.ncbi.nlm.nih.gov/pubmed/37334191
http://dx.doi.org/10.1021/acspolymersau.2c00053
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