We report key results of a systematic computational investigation using density functional theory along with the two standard Perdew-Burke-Ernzerhof and hybrid Heyd-Scuseria-Ernzerhof (HSE06) exchange-correlation formalisms on essential fundamental parameters for solar energy conversion of a series of large, medium, and small selected (covalent, binary, and ternary) materials widely utilized in fuel cells, photocatalysis, optoelectronics, photovoltaics, and dye-sensitized solar devices such as BN, AlN, C, ZrO, NaTaO, BiTiO, ZnS, GaN, SrTiO, TiO, BiTiO, SiC, WO, TaON, ZnSe, BiVO, CuNbO, CdS, AlP, ZnTe, GaP, CuO, AlAs, TaN, BP, CdSe, SnWO, GaAs, CdTe, and Si. Our calculations highlight that the optoelectronic and redox parameters computed with HSE06 reproduce with very good accuracy the experimental results, thanks to precise electronic structure calculations. Applying this first-principle quantum methodology led us to provide a rational design of new suitable solid solution materials for visible light-driven photochemical water splitting. This valuable computational tool will be applied to predict promising candidates to be experimentally prepared and tested for solar-to-chemical energy conversion.
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http://dx.doi.org/10.1021/acsomega.8b02884 | DOI Listing |
Sci Rep
January 2025
Department of Theoretical Electrical Engineering and Diagnostics of Electrical Equipment, Institute of Electrodynamics, National Academy of Sciences of Ukraine, Beresteyskiy, 56, Kyiv-57, Kyiv, 03680, Ukraine.
This study investigates the optimization of wind energy integration in hybrid micro grids (MGs) to address the rising demand for renewable energy, particularly in regions with limited wind potential. A comprehensive assessment of wind energy potential was conducted, and optimal sizing of standalone MGs incorporating photovoltaic (PV) systems, wind turbines (WT), and battery storage (BS) systems was performed for six regions in the Kingdom Saudi Arabia. Wind resource analysis utilizing the Weibull distribution function shows that all regions exhibited Class 1 wind energy characteristics, with average annual wind power densities ranging from 36.
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January 2025
School of Mathematics and Computer, Wuhan Polytechnic University, Wuhan, 430048, China.
The rapid changes in the global environment have led to an unprecedented decline in biodiversity, with over 28% of species facing extinction. This includes snakes, which are key to ecological balance. Detecting snakes is challenging due to their camouflage and elusive nature, causing data loss and feature extraction difficulties in ecological monitoring.
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January 2025
Biosciences Division, Oak Ridge National Laboratory, Oak Ridge, TN, USA.
For decades, Agrobacterium tumefaciens-mediated plant transformation has played an integral role in advancing fundamental and applied plant biology. The recent omnipresent emergence of synthetic biology, which relies on plant transformation to manipulate plant DNA and gene expression for novel product biosynthesis, has further propelled basic as well as applied interests in plant transformation technologies. The strong demand for a faster design-build-test-learn cycle, the essence of synthetic biology, is, however, still ill-matched with the long-standing issues of high tissue culture recalcitrance and low transformation efficiency of a wide range of plant species especially food, fiber and energy crops.
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January 2025
Department of Materials Science and Engineering, City University of Hong Kong, 83 Tat Chee Avenue, Hong Kong SAR, China.
The growing potential of low-dimensional metal-halide perovskites as conversion-type cathode materials is limited by electrochemically inert B-site cations, diminishing the battery capacity and energy density. Here, we design a benzyltriethylammonium tellurium iodide perovskite, (BzTEA)TeI, as the cathode material, enabling X- and B-site elements with highly reversible chalcogen- and halogen-related redox reactions, respectively. The engineered perovskite can confine active elements, alleviate the shuttle effect and promote the transfer of Cl on its surface.
View Article and Find Full Text PDFBehav Res Methods
January 2025
Paris Lodron University Salzburg, Kapitelgasse 4-6, 5020, Salzburg, Austria.
This article addresses the problem of measurement invariance in psychometrics. In particular, its focus is on the invariance assumption of item parameters in a class of models known as Rasch models. It suggests a mixed-effects or random intercept model for binary data together with a conditional likelihood approach of both estimating and testing the effects of multiple covariates simultaneously.
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