From Bimetallic Metal‐Organic Framework to Porous Carbon: High Surface Area and Multicomponent Active Dopants for Excellent Electrocatalysis

От биметаллического металл–органического каркаса к пористому углероду: большая удельная поверхность и многокомпонентные активные легирующие добавки для превосходного электрокатализа
Hai‐Long Jiang, Qiang Xü, Shu‐Hong Yu, Zhenyu Wu, Chengming Wang, Yujie Xiong, Yuzhen Chen
2015-07-20

CoNx moietybimetallic metal-organic frameworksnitrogen/co dopingoxygen reduction reactionporous carbon
Bimetallic metal-organic frameworks are rationally synthesized as templates and employed for porous carbons with retained morphology, high graphitization degree, hierarchical porosity, high surface area, CoNx moiety and uniform N/Co dopant by pyrolysis. The optimized carbon with additional phosphorus dopant exhibits excellent electrocatalytic performance for the oxygen reduction reaction, which is much better than the benchmark Pt/C in alkaline media.
1
An optimized carbon material with additional phosphorus dopant shows excellent electrocatalytic activity for the oxygen reduction reaction (ORR).
2
Bimetallic metal-organic frameworks were synthesized and used as templates to produce porous carbons that retain MOF morphology.
3
Pyrolyzed carbons exhibit high graphitization, hierarchical porosity, high surface area, and uniform N/Co dopant distribution including CoNx moieties.
4
The phosphorus-doped optimized carbon outperforms benchmark Pt/C catalysts for ORR in alkaline media.

Porous carbon materials derived from bimetallic metal–organic frameworks with retained morphology, high graphitization, hierarchical porosity, and N/Co (and P) dopants

Electrocatalytic performance for the oxygen reduction reaction (ORR), including activity improvements due to multicomponent active dopants (CoNx, N, and P), high surface area, and hierarchical porosity compared to Pt/C in alkaline media

Publication Details
Publication Date
2015-07-20
Journal
Publisher
ISSN
Access Type
Author Information
Authors
Hai‐Long Jiang
Qiang Xü
Shu‐Hong Yu
Zhenyu Wu
Chengming Wang
Yujie Xiong
Yuzhen Chen
Explore further
Open the scid.ai AI chat with a ready-made request: it will find papers on a similar topic and help build a literature review.
Find similar papers in the chat
Make a presentation
100%