Issue 47, 2022

Microstructure-regulated inverted pyramidal Si photocathodes for efficient hydrogen generation

Abstract

Black silicon electrodes with inverted pyramid arrays (SiIPs) are promising for efficient photoelectrochemical water splitting due to their excellent photoelectric properties and quasi-hydrophilicity. In this work, an elaborate study on microstructure regulation of SiIP photocathodes is reported. We find that on SiIPs where sidewalls have been processed with copper-assisted chemical etching (Cu-ACE), there are vast numbers of micro-pits distributed (deep holes and shallow grooves) that exactly determine electrode performance, which is a result of homogeneous Cu2+ oxidation of Si. Furthermore, SiIP microstructural features can be effectively adjusted via controlling the etchant composition and introducing alkali post-treatment. Taking the trade-off between light trapping ability and charge separation capacity into consideration, we optimized the hydrogen evolution reaction (HER) activity of a SiIP photocathode, and its onset potential was decreased to −0.35 V vs. RHE. On this basis, we constructed reliable heterojunctions to further improve the sluggish HER kinetics. The optimized SiIPs/TiO2/MoSx cathode exhibits a considerable photocurrent density of 9.45 mA cm−2 at zero HER overpotential for 18 h in acidic media. Notably, our work presents a detailed physical insight into micro-pit formation and elimination in Cu-ACE, and describes the dependency of SiIP-based electrode performance on the microstructure morphology, paving a new way for its potential application in unbiased overall water splitting.

Graphical abstract: Microstructure-regulated inverted pyramidal Si photocathodes for efficient hydrogen generation

Supplementary files

Article information

Article type
Paper
Submitted
28 Aug 2022
Accepted
28 Oct 2022
First published
28 Oct 2022

Nanoscale, 2022,14, 17571-17580

Microstructure-regulated inverted pyramidal Si photocathodes for efficient hydrogen generation

Y. Liu, S. Zhao, D. Zhang, Z. Liu and G. Yuan, Nanoscale, 2022, 14, 17571 DOI: 10.1039/D2NR04706C

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