Machine Learning in Polymer Research

Machine learning is increasingly being applied in polymer chemistry to link chemical structures to macroscopic properties of polymers and to identify chemical patterns in the polymer structures that help improve specific properties. To facilitate this, a chemical dataset needs to be translated into...

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Veröffentlicht in:	Advanced materials (Weinheim) Jg. 37; H. 11; S. e2413695 - n/a
Hauptverfasser:	Ge, Wei, De Silva, Ramindu, Fan, Yanan, Sisson, Scott A., Stenzel, Martina H.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Germany Wiley Subscription Services, Inc 01.03.2025 John Wiley and Sons Inc
Schlagworte:	chemical descriptors Chemical synthesis Chemists Datasets FAIR data Machine learning Mathematicians Molecular weight distribution Polymer chemistry Polymers Review chemical descriptors polymers machine learning FAIR data
ISSN:	0935-9648, 1521-4095, 1521-4095
Online-Zugang:	Volltext
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