Literature DB >> 26276591

Reaction Pathway for Oxygen Reduction on FeN4 Embedded Graphene.

Shyam Kattel1, Guofeng Wang1.   

Abstract

The detailed reaction pathways for oxygen reduction on FeN4 embedded graphene have been investigated using density functional theory transition-state calculations. Our first-principles calculation results show that all of the possible ORR elementary reactions could take place within a small region around the embedded FeN4 complex. It is predicted that the kinetically most favorable reaction pathway for ORR on the FeN4 embedded graphene would be a four-electron OOH dissociation pathway, in which the rate-determining step is found to be the OOH dissociation reaction with an activation energy of 0.56 eV. Consequently, our theoretical study suggests that nonprecious FeN4 embedded graphene could possess catalytic activity for ORR comparable to that of precious Pt catalysts.

Entities:  

Keywords:  activation energy; binding energy; catalyst; density functional theory; nudged elastic band method

Year:  2014        PMID: 26276591     DOI: 10.1021/jz402717r

Source DB:  PubMed          Journal:  J Phys Chem Lett        ISSN: 1948-7185            Impact factor:   6.475


  11 in total

1.  Theoretical insights on the oxygen-reduction reaction mechanism of LaN4-embedded graphene.

Authors:  Xiaoxu Sun; Kai Li; Cong Yin; Ying Wang; Hao Tang; Zhijian Wu
Journal:  J Mol Model       Date:  2017-12-18       Impact factor: 1.810

2.  DFT Study of the Oxygen Reduction Reaction Activity on Fe-N₄-Patched Carbon Nanotubes: The Influence of the Diameter and Length.

Authors:  Xin Chen; Rui Hu; Fan Bai
Journal:  Materials (Basel)       Date:  2017-05-18       Impact factor: 3.623

3.  FeNxC Based Catalysts Prepared by the Calcination of Iron-Ethylenediamine@Polyaniline as the Cathode-Catalyst of Proton Exchange Membrane Fuel Cell.

Authors:  Yen-Zen Wang; Wen-Yao Huang; Tar-Hwa Hsieh; Li-Cheng Jheng; Ko-Shan Ho; Sin-Wei Huang; Liang Chao
Journal:  Polymers (Basel)       Date:  2019-08-19       Impact factor: 4.329

4.  Identifying the impact of the covalent-bonded carbon matrix to FeN4 sites for acidic oxygen reduction.

Authors:  Xueli Li; Zhonghua Xiang
Journal:  Nat Commun       Date:  2022-01-10       Impact factor: 14.919

5.  Probing the activity of transition metal M and heteroatom N4 co-doped in vacancy fullerene (M-N4-C64, M = Fe, Co, and Ni) towards the oxygen reduction reaction by density functional theory.

Authors:  Siwei Yang; Chaoyu Zhao; Ruxin Qu; Yaxuan Cheng; Huiling Liu; Xuri Huang
Journal:  RSC Adv       Date:  2021-01-22       Impact factor: 3.361

Review 6.  Stabilizing Fe-N-C Catalysts as Model for Oxygen Reduction Reaction.

Authors:  Qianli Ma; Huihui Jin; Jiawei Zhu; Zilan Li; Hanwen Xu; Bingshuai Liu; Zhiwei Zhang; Jingjing Ma; Shichun Mu
Journal:  Adv Sci (Weinh)       Date:  2021-10-23       Impact factor: 16.806

7.  Pseudo-adsorption and long-range redox coupling during oxygen reduction reaction on single atom electrocatalyst.

Authors:  Jie-Wei Chen; Zisheng Zhang; Hui-Min Yan; Guang-Jie Xia; Hao Cao; Yang-Gang Wang
Journal:  Nat Commun       Date:  2022-04-01       Impact factor: 17.694

8.  Non-PGM Electrocatalysts for PEM Fuel Cells: A DFT Study on the Effects of Fluorination of FeNx-Doped and N-Doped Carbon Catalysts.

Authors:  Mohamed Cherif; Jean-Pol Dodelet; Gaixia Zhang; Vassili P Glibin; Shuhui Sun; François Vidal
Journal:  Molecules       Date:  2021-12-04       Impact factor: 4.411

Review 9.  Applications of Machine Learning in Alloy Catalysts: Rational Selection and Future Development of Descriptors.

Authors:  Ze Yang; Wang Gao
Journal:  Adv Sci (Weinh)       Date:  2022-03-01       Impact factor: 17.521

10.  Systematic exploration of N, C configurational effects on the ORR performance of Fe-N doped graphene catalysts based on DFT calculations.

Authors:  Fan Liu; Guangqi Zhu; Dongzi Yang; Dong Jia; Fengmin Jin; Wei Wang
Journal:  RSC Adv       Date:  2019-07-23       Impact factor: 4.036

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