Chem Commun (Camb)
January 2025
Cu-Zn bimetallic catalysts were synthesized on 3-D gas diffusion electrodes using atomic layer deposition (ALD) techniques. Electrochemical CO reduction was evaluated, and a significant variation in the product selectivity was observed compared to unmodified Cu catalysts. As low as a single ALD cycle of ZnO resulted in a reduction of CH production and shift towards CO selectivity, which is attributed to changes in the chemical state of the surface.
View Article and Find Full Text PDFElectrochemical reduction of CO using Cu catalysts enables the synthesis of C products including CH and CHOH. In this study, Cu catalysts were fabricated using plasma-enhanced atomic layer deposition (PEALD), achieving conformal deposition of catalysts throughout 3-D gas diffusion electrode (GDE) substrates while maintaining tunable control of Cu nanoparticle size and areal loading. The electrochemical CO reduction at the Cu surface yielded a total Faradaic efficiency (FE) > 75% for C products.
View Article and Find Full Text PDFHighly transparent photocatalytic self-cleaning surfaces capable of harvesting near-visible (365-430 nm) photons were synthesized and characterized. This helps to address a current research gap in self-cleaning surfaces, in which photocatalytic coatings that exhibit activity at wavelengths longer than ultraviolet (UV) generally have poor optical transparency, because of broadband scattering and the attenuation of visible light. In this work, the wavelength-dependent photocatalytic activity of Pt-modified TiO (Pt-TiO) particles was characterized, which exhibited activity for wavelengths up to 430 nm.
View Article and Find Full Text PDFACS Appl Mater Interfaces
July 2022
We demonstrate tunable structural color patterns that span the visible spectrum using atomic layer deposition (ALD). Asymmetric metal-dielectric-metal structures were sequentially deposited with nickel, zinc oxide, and a thin copper layer to form an optical cavity. The color response was precisely adjusted by tuning the zinc oxide (ZnO) thickness using ALD, which was consistent with model predictions.
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