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

Key Points

• The aim is to assess the thermal and barrier properties of poly(3-hydroxybutyrate) hybrid nanocomposites using machine learning techniques for prediction.
• Utilized experimental data of poly(3-hydroxybutyrate) nanocomposites.
• Applied machine learning algorithms to predict thermal and barrier properties.
• Analyzed the impact of various additives on material properties.
• Machine learning models accurately predicted thermal and barrier properties.
• Additives improved material properties while maintaining biodegradability.
• The hybrid nanocomposites showed potential for broader applications in diverse fields.