Assessing and Improving Machine Learning Model Predictions of Polymer Glass Transition Temperatures

The success of the Materials Genome Initiative has led to opportunities for data-driven approaches for materials discovery. The recent development of Polymer Genome (PG), which is a machine learning (ML) based data-driven informatics platform for polymer property prediction, has significantly increa...

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Hauptverfasser:	Ramprasad, Manav, Kim, Chiho
Format:	Artikel
Sprache:	eng
Schlagworte:	Physics - Computational Physics Physics - Materials Science
Online-Zugang:	Volltext bestellen
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