Hydrogen Evolution Reaction on Ultra-Smooth Sputtered Nanocrystalline Ni Thin Films in Alkaline Media-From Intrinsic Activity to the Effects of Surface Oxidation

Nanomaterials (Basel). 2023 Jul 17;13(14):2085. doi: 10.3390/nano13142085.

Abstract

Highly effective yet affordable non-noble metal catalysts are a key component for advances in hydrogen generation via electrolysis. The synthesis of catalytic heterostructures containing established Ni in combination with surface NiO, Ni(OH)2, and NiOOH domains gives rise to a synergistic effect between the surface components and is highly beneficial for water splitting and the hydrogen evolution reaction (HER). Herein, the intrinsic catalytic activity of pure Ni and the effect of partial electrochemical oxidation of ultra-smooth magnetron sputter-deposited Ni surfaces are analyzed by combining electrochemical measurements with transmission electron microscopy, selected area electron diffraction, X-ray photoelectron spectroscopy, and atomic force microscopy. The experimental investigations are supplemented by Density Functional Theory and Kinetic Monte Carlo simulations. Kinetic parameters for the HER are evaluated while surface roughening is carefully monitored during different Ni film treatment and operation stages. Surface oxidation results in the dominant formation of Ni(OH)2, practically negligible surface roughening, and 3-5 times increased HER exchange current densities. Higher levels of surface roughening are observed during prolonged cycling to deep negative potentials, while surface oxidation slows down the HER activity losses compared to as-deposited films. Thus, surface oxidation increases the intrinsic HER activity of nickel and is also a viable strategy to improve catalyst durability.

Keywords: electrochemical surface oxidation; electrolysis; hydrogen evolution reaction; magnetron sputter deposition; water splitting.

Grants and funding

This research activity is part of the Strategic Core Research Area SCoRe A+ Hydrogen and Carbon and has received funding from Montanuniversität Leoben. A.Z.J. and I.A.P. acknowledge the financial support provided by the Science Fund of the Republic of Serbia (PROMIS project Ratio-CAT) and the Ministry of Science, Technological Development, and Innovations of the Republic of Serbia (Contract No. 451-03-47/2023-01/200146). The computations and data handling were enabled by resources provided by the National Academic Infrastructure for Supercomputing in Sweden (NAISS) at the NSC center of Linköping University, partially funded by the Swedish Research Council through grant agreement no. 2018-05973. C.G. acknowledges support by the Austrian Science Fund (FWF): Y1236-N37.