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Kai Zhang

affiliation not provided to SSRN

SCHOLARLY PAPERS

3

DOWNLOADS

94

TOTAL CITATIONS

0

Scholarly Papers (3)

1.

Biogas Residue Derived Porous Activated Biochar Through Thermochemical Nitrogen Self-Doping as an Efficient Cathode Catalyst for Microbial Fuel Cells

Number of pages: 34 Posted: 26 Feb 2024
North China Electric Power University, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, North China Electric Power University, affiliation not provided to SSRN and Hohai University
Downloads 42 (1,183,237)

Abstract:

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biogas residue, hydrothermal carbonization, microbial fuel cell, cathode catalyst, nitrogen doping

Effect of Salinity in Wastewater on Solid Phase Products of Hydrothermal Carbonization of Organic Solid Wastes

Number of pages: 31 Posted: 28 Aug 2023
Inner Mongolia University, North China Electric Power University, affiliation not provided to SSRN, North University of China, North University of China and Taiyuan University of Technology
Downloads 21 (1,486,852)

Abstract:

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salinity, hydrothermal carbonization, organic solid wastes, hydrochar

Effect of Salinity in Wastewater on Solid Phase Products of Hydrothermal Carbonization of Organic Solid Wastes

Number of pages: 31 Posted: 20 Jun 2023
Inner Mongolia University, North China Electric Power University, affiliation not provided to SSRN, North University of China, North University of China and Taiyuan University of Technology
Downloads 13 (1,579,999)

Abstract:

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salinity, hydrothermal carbonization, organic solid wastes, hydrochar

3.

Machine Learning and Shap-Based Interpretable Prediction of the Electrocatalytic Performance of N-Doped Carbon Materials

Number of pages: 33 Posted: 03 Jul 2023
affiliation not provided to SSRN, North China Electric Power University, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, North China Electric Power University and affiliation not provided to SSRN
Downloads 18 (1,470,786)

Abstract:

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Machine learning, interpretable prediction, N-doped carbon material, ORR catalysis, SHAP