Optimizing hydrogen evolution prediction: A unified approach using random forests, lightGBM, and Bagging Regressor ensemble model

Author:

Bakır RezanORCID,Orak CerenORCID,Yüksel Aslı

Publisher

Elsevier BV

Reference33 articles.

1. A latest overview on photocatalytic application of g-C3N4 based nanostructured materials for hydrogen production;Prasad;Int J Hydrogen Energy,2020

2. Comprehensive review on g-C3N4-based photocatalysts for the photocatalytic hydrogen production under visible light;Zhurenok;Int J Mol Sci,2023

3. Revolutionary carbon quantum dot supported-Co catalyst for record-breaking hydrogen production rate;Onat;Ionics,2023

4. High hydrogen production rate from potassium borohydride hydrolysis with an efficient catalyst: CNT@Ru(0);Keskin;Desalination Water Treat,2022

5. Novel Bi-based photocatalysts with unprecedented visible light-driven hydrogen production rate: experimental and DFT insights;Hamza;Chem Eng J,2020

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