Thermal and barrier properties of poly(3-hydroxybutyrate) hybrid nanocomposites: use of experimental data for reliable prediction via machine learning

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Authors: Ana María Díez Pascual, José A. Luceño
Cited by: 2
References: 52

Abstract

We report a triple filler strategy, the simultaneous addition of carbon nanotubes, sepiolite and tungsten disulfide, to improve the thermal and barrier properties of poly(3-hydroxybutyrate).

Fields of Study & Subjects

biodegradable polymer synthesis and properties Polymer crystallization and properties Machine Learning in Materials Science

Publication details

Journal / source
New Journal of Chemistry
Publisher
Royal Society of Chemistry (RSC)
Volume
50
Issue
5
Pages
2332–2349
Publication date
1 January 2026
Language
EN