Characterising the glass transition temperature-structure relationship through a recurrent neural network

Characterising the glass transition temperature-structure relationship through a recurrent neural network

Quantitative structure-property relationship (QSPR) is a powerful analytical method to find correlations between the structure of a molecule and its physicochemical properties. The glass transition temperature (Tg) is one of the most reported properties, and its characterisation is critical for tuni...

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Bibliographic Details
Main Authors:	Claudia Borredon, Luis A. Miccio, Silvina Cerveny, Gustavo A. Schwartz
Format:	Article
Language:	English
Published:	Elsevier 2023-06-01
Series:	Journal of Non-Crystalline Solids: X
Subjects:	QSPR Machine learning Molecular glass former Amino acid RNN
Online Access:	http://www.sciencedirect.com/science/article/pii/S2590159123000377

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