MoM-Augmented Dataset for Cyclic Olefin Copolymerization Performance Prediction

A multimodal dataset of 2,700 entries for predicting cyclic olefin copolymerization performance. The data and trained models were published by 俊杰 姜 on figshare in April 2026. The repository includes files in CSV, PKL, and H5 formats totaling 233.0 MB.

Use Cases

• Training machine learning models for polymer property prediction based on the multimodal framework described.
• Benchmarking new predictive algorithms against the provided trained models.
• Analyzing relationships between synthesis conditions and copolymer performance using the 2,700-entry dataset.

Strengths

• Dataset contains 2,700 entries, providing a foundation for model training.
• Includes pre-trained models (PKL, H5 files) for immediate use or comparison.
• Released under a permissive CC-BY-4.0 license for open reuse and modification.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Description metadata is limited; actual data quality requires manual inspection after download.

Provenance

Source

figshare

Freshness

Last updated 2026-04-28 11:31:40; freshness should be verified