The design of efficient catalysts for photocatalytic CO conversion is of great importance for the sustainable development of society. Herein, three polyoxometalate (POM)-based crystalline materials were formulated prepared by substituting transition metals and adjusting solvent acidity with 2-(2-pyridyl) benzimidazole (pyim) as the light-trapping ligand, namely {[SiWO][Co(pyim)]}·2CHOH (SiW12Co2), {[SiWO][Ni(pyim)]}·2CHOH (SiW12Ni2), and {[SiWO][Mn(pyim)]}·2CHOH (SiW12Mn2). X-ray crystallography diffraction analysis indicates that the three complexes exhibit isostructural properties, and form a stable one-dimensional chain structure stabilized by two [M(pyim)] (M = Co, Ni, and Mn) fragments serving as dual-nodes to the adjacent SiW units. A comprehensive analysis of the structural characterization and photocatalytic CO reduction properties is presented. Under light irradiation, SiW12Co2 exhibited a remarkable CO generation rate of 10 733 μmol g h with a turnover number of 328, outperforming most of the reported heterogeneous POM-based photocatalysts. Besides, cycling tests revealed that SiW12Co2 is an efficient and stable photocatalyst with great recyclability for at least four successive runs. This study proves that the successful incorporation of diverse transition metals into the POM anion could facilitate the development of highly efficient photocatalysts for the CORR.
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http://dx.doi.org/10.1039/d4dt01757a | DOI Listing |
Viruses
November 2024
Centre for Epidemiology and Planetary Health, School of Veterinary Medicine, Scotland's Rural College, Inverness IV2 5NA, UK.
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November 2024
Department of Pathology, University of Texas Medical Branch, Galveston, TX 77555-0609, USA.
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December 2024
Graduate School of Engineering Science, Osaka University, Toyonaka 560-8531, Osaka, Japan.
In this study, we experimentally demonstrate a PPLN-based free-space to SMF (single-mode fiber) conversion system capable of efficient long-wavelength down-conversion from 518 nm, optimized for minimal loss in highly turbid water, to 1540 nm, which is ideal for low-loss transmission in standard SMF. Leveraging the nonlinear optical properties of periodically poled lithium niobate (PPLN), we achieve a wavelength conversion efficiency of 1.6% through difference frequency generation while maintaining a received optical signal-to-noise ratio of 10.
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December 2024
College of Information, Liaoning University, Shenyang 110036, China.
Rolling bearings play a crucial role in industrial equipment, and their failure is highly likely to cause a series of serious consequences. Traditional deep learning-based bearing fault diagnosis algorithms rely on large amounts of training data; training and inference processes consume significant computational resources. Thus, developing a lightweight and suitable fault diagnosis algorithm for small samples is particularly crucial.
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December 2024
Fundación Centro Tecnológico CTC-Scientific and Technological Park of Cantabria (PCTCAN), Street Isabel Torres Nº 1, 39011 Santander, Spain.
This study presents the design and validation of a numerical method based on an AI-driven ROM framework for implementing stress virtual sensing. By leveraging Reduced-Order Models (ROMs), the research aims to develop a virtual stress transducer capable of the real-time monitoring of mechanical stresses in mechanical components previously analyzed with high-resolution FEM simulations under a wide range of multiple load scenarios. The ROM is constructed through neural networks trained on Finite Element Method (FEM) outputs from multiple scenarios, resulting in a simplified yet highly accurate model that can be easily implemented digitally.
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