A Transfer Learning Framework Integrating Molecular Dynamics and Group Contribution Methods for Predicting Polymer Specific Heat Capacity

Key Points

• The aim is to develop a framework that predicts the specific heat capacity of polymers using transfer learning.
• Integration of molecular dynamics and group contribution methods
• Application of transfer learning techniques
• Comparison of predicted heat capacities with experimental data
• Transfer learning improves prediction accuracy compared to traditional methods
• Significant correlation found between predicted and experimental values
• Framework demonstrates potential for various polymer applications