The defect chemistry and machine learning study 5d transition metal doped on graphitic carbon nitride for bifunctional oxygen electrocatalyst with low overpotential-Reference-Cited by-同舟云学术

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The defect chemistry and machine learning study 5d transition metal doped on graphitic carbon nitride for bifunctional oxygen electrocatalyst with low overpotential

Published:2024-08 Issue: Volume:79 Page:702-714
ISSN:0360-3199
Container-title:International Journal of Hydrogen Energy
language:en
Short-container-title:International Journal of Hydrogen Energy

Author:

Wentao Wang^ORCID,Qu Yanyan^ORCID,Li Dongying,Zhang Aodi,Yan Hongxia,Feng Zhenzhen^ORCID,Yao Wenzhi

Publisher

Elsevier BV

Reference92 articles.

1. High-performance bifunctional oxygen electrocatalysts for zinc-air batteries over mesoporous Fe/Co-N-C nanofibers with embedding FeCo alloy nanoparticles;Li;Appl Catal, B,2019

2. Recent progress of carbonaceous materials in fuel cell applications: an overview;You;Chem Eng J,2017

3. Revealing the importance of kinetics in N-coordinated dual-metal sites catalyzed oxygen reduction reaction;Wang;J Catal,2021

4. When NiO@Ni meets WS2 nanosheet array: a highly efficient and ultrastable electrocatalyst for overall water splitting;Wang;ACS Cent Sci,2018

5. Nickel-based electrocatalysts for energy-related applications: oxygen reduction, oxygen evolution, and hydrogen evolution reactions;Vij;ACS Catal,2017

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