Data-driven approaches for structure-property relationships in polymer science for prediction and understanding
Author:
Funder
MEXT | Japan Society for the Promotion of Science
Publisher
Springer Science and Business Media LLC
Subject
Materials Chemistry,Polymers and Plastics
Link
https://www.nature.com/articles/s41428-022-00648-6.pdf
Reference83 articles.
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4. Jackson NE, Webb MA, de Pablo JJ. Recent advances in machine learning towards multiscale soft materials design. Curr Opin Chem Eng. 2019;23:106–14. https://doi.org/10.1016/j.coche.2019.03.005.
5. Peerless JS, Milliken NJB, Oweida T, Manning MD, Yingling YG. Soft matter informatics: current progress and challenges. Adv Theor Simul. 2019;2:1800129. https://doi.org/10.1002/adts.201800129.
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