0000-0003-0661-6626 Employment
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Publications (5)
- Interpretable and highly accurate tertiary tree-based ensemble hybrid models for the prediction of photocurrent density and electrode potential in PEC cell: Theoretically supported and externally validated by experimental data Save
- Interpretable machine learning approach for prediction of the vibrational free energy of materials Save
- Construction of hybrid models based on cascade technique using basic machine learning models: An application as photocurrent density predictor of the photoelectrode in PEC cell Save
- Study and prediction of photocurrent density with external validation using machine learning models Save
- Lattice thermal conductivity of material and its correlation with Debye temperature using regression models Save