Interpretable Machine Learning-Based QSPR Modeling for Predicting Hydrogen Adsorption Performance of Ester Oil Impregnating Agents
Understanding the relationship between molecular structures and hydrogen adsorption performance is essential for the rational screening of ester oil impregnating agents for high-voltage capacitor applications. Herein, an interpretable machine learning-based quantitative structure–property relationship (QSPR) framewor...