NeurIPS Open Polymer Prediction 2025

NeurIPS Open Polymer Prediction 2025 is a research-grade polymer property benchmark focused on polymer property prediction benchmark data for AI model comparison, feature engineering, and molecular/materials ML education. It is useful for graduate-level materials research, reproducible benchmarking, model training, validation, and comparison across computational, experimental, or characterization workflows.

Citation: NeurIPS Open Polymer Prediction 2025. Materials dataset resource. https://www.kaggle.com/competitions/neurips-open-polymer-prediction-2025/data

Acknowledgement: Curated by MaterialsAtlas Open Resources from public data portals, official project pages, benchmark suites, repositories, and publication-linked archives.