https://ogma.newcastle.edu.au/vital/access/ /manager/Index en-au 5 https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:55316 97% degradation rate in 150 min). Spectroscopic investigations and density functional theory calculations reveal that the sulfoxide functionalities generate efficient charge-transfer pathways on the catalyst’s surface, thereby catalyzing the reaction and impeding charge carrier recombination. The implications of this research offer insights into the development of surface/interface engineering and atomistic doping for enhanced photocatalysis, which will inspire superior futuristic catalytic design.]]> Wed 15 May 2024 15:33:05 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:43271 3N₄) is among the most promising candidates due to fine-tuned band edges and the feasibility of optimizing the optical properties via materials genomics. Constructing a two-dimensional (2D)/2D van der Waals (vdW) heterojunction by allies of 2D carbon nitride sheets and other 2D semiconductors has demonstrated enhanced charge separation with improved visible photon absorption, and the performance is not restricted by the lattice matching of constituting materials. With the advent of new 2D semiconductors over the recent past, the 2D/2D heterojunction assemblies are gaining momentum to design high performance photocatalysts for numerous applications. This review aims to highlight recent advancements and key understanding in carbon nitride based 2D/2D heterojunctions and their applications in photocatalysis, including small molecules activation, conversion, and degradations. We conclude with a forward-looking perspective discussing the key challenges and opportunity areas for future research.]]> Thu 15 Sep 2022 11:55:39 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:42942 R² values of 0.85, 0.77, and 0.91, respectively. Both models are less effective in predicting the enzyme activity retention, however, with R² values of 0.63 or lower. Sensitivity analysis of the input variables revealed the most significant variables for each corresponding output parameter, allowing further optimization of the RFM. The final RFM was then tested with a second unseen dataset collected from experiments. Findings confirmed the validity of the predictive model, including a relative error of less than 25%. Our model can aid in the synthesis of enzyme-MOF biocatalysts by providing valuable estimates of these output parameters for different MOF precursors and enzymes, saving experimental time and cost.]]> Thu 08 Sep 2022 09:00:28 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:51632 Mon 29 Jan 2024 18:27:57 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:44553 Mon 29 Jan 2024 17:56:34 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:39699 Fri 17 Jun 2022 16:35:09 AEST ]]>