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URN to cite this document: urn:nbn:de:bvb:703-epub-9068-2
Title data
Banerjee, Manami ; Ren, Peng ; Kumar, Greesh ; Lindenbeck, Lucie ; Park, Byoung Joon ; Rokicińska, Anna ; Kuśtrowski, Piotr ; Slabon, Adam ; Ciucci, Francesco ; Dey, Ramendra Sundar ; Das, Shoubhik:
Powering the Future : A Cobalt-Based Catalyst for Longer-Lasting Zinc–Air Batteries.
In: Advanced Functional Materials.
Vol. 36
(2026)
Issue 17
.
- e19329.
ISSN 1616-3028
DOI der Verlagsversion: https://doi.org/10.1002/adfm.202519329
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Project information
| Project title: |
Project's official title Project's id Enthüllung der mikrostrukturellen und elektrochemischen Entwicklung einer Si/Sn-Nanofaserverbundanode für Lithium-Ionen-Batterien 533115776 Open Access Publizieren No information |
|---|---|
| Project financing: |
Deutsche Forschungsgemeinschaft |
Abstract
The development of cost-effective catalysts for zinc–air batteries (ZABs) remain challenging due to the sluggish kinetics of oxygen reduction (ORR) and evolution (OER) at the cathode. In this context, a novel N-doped graphitic shell-encapsulated cobalt catalyst is presented as an air electrode with exceptional bifunctional activity, achieving an ORR half-wave potential (E1/2) of 0.81 V and an OER overpotential of 349 mV in an alkaline medium. The catalyst demonstrated excellent cycling durability and delivered superior power density in both liquid and solid-state ZABs. Furthermore, a quasi-solid-state ZAB is assembled with the catalyst, and it maintained a stable open-circuit voltage (OCV) of 1.360 V for >10 000 s. The catalyst achieved a peak power density of 127 mW cm−2—significantly outperforming the benchmark Pt/C + RuO2 system (74 mW cm−2). When two tandem-junction ZABs are connected in series, they achieved an OCV of 2.75 V and powering a “ZAB” LED strip and a mini fan. Furthermore, Density Functional Theory (DFT) calculations revealed that the enhanced performance resulted from optimized binding energies between the Co@N(py) active sites and reaction intermediates. An in situ Raman study is carried out to understand the catalytic mechanism through transient intermediate detection.
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