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D2.03 - TiO2 Nanotube Array Based Photoelectrochemical Water Splitting 
April 22, 2014   2:15pm - 2:45pm

In this presentation, we show that by varying the voltages during two-step anodization the morphology of the hierarchical top-layer/bottom-tube arrays TiO2 (TiO2 NTs) can be finely tuned between nanoring/nanotube, nanopore/nanotube, and nanohole-nanocave/nanotube morphologies, which allows us to optimize the photoelectrochemical (PEC) water splitting performance on the hierarchical TiO2 NTs. The optimized photocurrent density and photoconversion efficiency of the hierarchical TiO2 NTs were 1.59 mA cm−2 at 1.23 V vs. RHE and 0.84% respectively, which are the highest values ever reported on pristine TiO2 materials under illumination of AM 1.5G. The top porous layer of the hierarchical TiO2 NTs was found to have characteristics of photonic crystal, which was utilized to combine with plasmonic Au nanocrystals to produce visible-light active composite material. The selection of the Au nanocrystals is so that their surface plasmonic resonance (SPR) wavelength matches the photonic band gap of the photonic crystal and thus the SPR of the Au receives remarkable assistance from the photonic crystal substrate. Under visible light illumination (>420nm), the designed material produced a photocurrent density of ~150 μA cm-2, which is the highest value ever reported in any plasmonic Au/TiO2 system under visible light irradiation. Additionally, palladium nanocrystals were deposited onto the TiO2 NTs (Pd/TiO2 NTs) and, because of formation Schottky junctions between TiO2 and Pd, the Pd/TiO2 NTs showed significantly higher water contaminant decompsotiion activities than the TiO2 NTs.

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Keynote Address
Panel Discussion - Different Approaches to Commercializing Materials Research
Business Challenges to Starting a Materials-Based Company
Fred Kavli Distinguished Lectureship in Nanoscience
Application of In-situ X-ray Absorption, Emission and Powder Diffraction Studies in Nanomaterials Research - From the Design of an In-situ Experiment to Data Analysis