Dataset for Predicting Surfactant Oil–Water Interfacial Tension Using Gated Message Passing Graph Neural Networks
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This dataset contains 2,184 processed and curated data points for surfactant oil–water interfacial tension (IFT). The raw experimental records were reported in heterogeneous formats, units, and chemical nomenclatures across diverse sources, making them unsuitable for direct computational modeling without systematic standardization. To ensure usability, the data were harmonized into a structured format, including canonical SMILES strings, unified salinity units, and consistent physical parameters.
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Zenodo创建时间:
2026-05-22



