Homogeneous Metal Nitrate Hydroxide Nanoarrays Grown on Nickel Foam for Efficient Electrocatalytic Oxygen Evolution
Developing facile routes for fabricating highly efficient oxygen evolution reaction (OER) electrocatalysts is in great demand but remains a great challenge. Herein, a novel molten salt decomposition method to prepare 3D metal nitrate hydroxide (MNH, M = Ni, Co, and Cu) nanoarrays homogenously grown...
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Veröffentlicht in: | Small (Weinheim an der Bergstrasse, Germany) Germany), 2018-12, Vol.14 (52), p.e1803783-n/a |
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Sprache: | eng |
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Zusammenfassung: | Developing facile routes for fabricating highly efficient oxygen evolution reaction (OER) electrocatalysts is in great demand but remains a great challenge. Herein, a novel molten salt decomposition method to prepare 3D metal nitrate hydroxide (MNH, M = Ni, Co, and Cu) nanoarrays homogenously grown on different conductive substrates, especially on nickel foam (NF) for OER applications, is reported. Compared with the as‐prepared CoNH/NF and CuNH/NF, NiNH/NF presents a superior electrocatalytic OER activity and stability in an alkaline solution, with a very low overpotential of only 231 mV versus a reversible hydrogen electrode to deliver a geometrical catalytic current density of 50 mA cm−2 and a low Tafel slope of 81 mV dec−1, outperforming most reported transition metal compound catalysts. Structural investigation after the OER process reveals the morphology integrity of the nanoarrays but the formation of metal oxyhydroxide (for NiNH and CoNH) or oxide (for CuNH) as the likely real active species. These metal nitrate hydroxide non‐noble metal electrocatalysts can be prepared by an economical and simple method, with enhanced intrinsic activity and long‐term stability and durability, which might be new candidates for energy conversion and storage applications.
Homogeneous metal nitrate hydroxide nanoarrays grown on nickel foam through a molten salt decomposition method show high electrocatalytic oxygen evolution activity and stability in alkaline solution. |
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ISSN: | 1613-6810 1613-6829 |
DOI: | 10.1002/smll.201803783 |