Data and Code: Illusory accuracy in machine learning for physical property prediction: two mechanisms, two case studies
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资源简介：
This repository provides a complete audit trail to reproduce the paper's findings. It includes the compiled experimental datasets, hyperparameter configurations, literature audit classification spreadsheets, and fully executable Jupyter notebooks that reconstruct the machine learning pipelines for CO₂-brine interfacial tension (IFT) and CO₂ solubility in brine.
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Zenodo创建时间：
2026-07-20
