POINT² introduces a comprehensive database and standardized workflow for polymer informatics, enabling faster discovery of high-performance polymeric materials.

• Creates a unified approach for prediction accuracy, uncertainty quantification, and ML interpretability
• Expedites the discovery and development of new high-performance polymeric materials
• Addresses the critical need for standardized data and methods in polymer informatics
• Bridges the gap between material science and machine learning

This research significantly advances materials engineering by providing a robust framework for ML-driven polymer property prediction, accelerating innovation in diverse industrial applications from electronics to sustainable materials.

POINT²: A Polymer Informatics Training and Testing Database