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Machine learning prediction of supercapacitor performance of N-doped biochar from biomass wastes based on N-containing groups, element compositions, and pore structures

Hui Liao, Shaobin Fan, Wenhui Han, Minghong Wang, Qiyan Shi, Yingpu Xie, Xiong Yang, Wei Chen

2024Journal of Energy Storage17 citationsDOI

Topics & Concepts

BiocharSupercapacitorBiomass (ecology)DopingMaterials scienceElement (criminal law)Chemical engineeringComposite numberNanotechnologyComposite materialWaste managementElectrochemistryChemistryEngineeringPyrolysisElectrodeOptoelectronicsAgronomyPhysical chemistryLawBiologyPolitical scienceSupercapacitor Materials and FabricationAdvancements in Battery MaterialsAerogels and thermal insulation
Machine learning prediction of supercapacitor performance of N-doped biochar from biomass wastes based on N-containing groups, element compositions, and pore structures | Litcius