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Machine learning and Shapley Additive Explanation-based interpretable prediction of the electrocatalytic performance of N-doped carbon materials

Shiteng Tan, Ruikun Wang, Gaoke Song, Shulong Qi, Kai Zhang, Zhenghui Zhao, Qianqian Yin

2023Fuel52 citationsDOI

Topics & Concepts

Carbon fibersCatalysisNitrogenMicrobial fuel cellDopingOxygenChemistryMaterials scienceChemical engineeringPhysical chemistryOrganic chemistryComposite materialElectrodeOptoelectronicsEngineeringAnodeComposite numberElectrocatalysts for Energy ConversionFuel Cells and Related MaterialsMicrobial Fuel Cells and Bioremediation
Machine learning and Shapley Additive Explanation-based interpretable prediction of the electrocatalytic performance of N-doped carbon materials | Litcius