We present a novel colloidal synthesis of alkyl-terminated Ge nanocrystals based on the reduction of GeI(4)/GeI(2) mixtures. The size of the nanocrystals (2.3-11.3 nm) was controlled by adjusting both the Ge(IV)/Ge(II) ratio and the temperature ramp rate following reductant injection. The near-infrared absorption (1.6-0.70 eV) and corresponding band-edge emission demonstrate the highly tunable quantum confinement effects in Ge nanocrystals prepared using this mixed-valence precursor method. A mechanism is proposed for the observed size control, which relies upon the difference in reduction temperatures for Ge(II) versus Ge(IV).
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http://dx.doi.org/10.1021/nn102728u | DOI Listing |
Materials (Basel)
December 2024
Institute of Physics, Polish Academy of Sciences, 02-668 Warsaw, Poland.
A sonochemical synthesis of SnS quantum dots using acetone as a solvent is investigated. Two different tin sources (SnCl∙2HO or SnCl∙5HO) as well as two different sulfur sources (thioacetamide or NaSO) were applied. The sonication time was also varied between 60 and 120 min.
View Article and Find Full Text PDFSci Rep
January 2025
Environment Division, National Institute of Oceanography and Fisheries (NIOF), Kayet Bey, Elanfoushy, Alexandria, Egypt.
Materials (Basel)
December 2024
Department of Optical Science and Engineering, Shanghai Ultra-Precision Optical Manufacturing Engineering Center, Fudan University, Shanghai 200433, China.
In recent years, the fabrication of materials with large nonlinear optical coefficients and the investigation of methods to enhance nonlinear optical performance have been in the spotlight. Herein, the bismuth telluride (BiTe) thin films were prepared by radio-frequency magnetron sputtering and annealed in vacuum at various temperatures. The structural and optical properties were characterized and analyzed using X-ray diffraction, scanning electron microscopy, X-ray photoelectron spectroscopy, spectroscopic ellipsometry, and UV/VIS/NIR spectrophotometry.
View Article and Find Full Text PDFMaterials (Basel)
December 2024
College of Metallurgy and Energy, North China University of Science and Technology, Tangshan 063000, China.
The bandgap is a critical factor influencing the energy density of batteries and a key physical quantity that determines the semiconducting behavior of materials. To further improve the prediction accuracy of the bandgap in silicon oxide lithium-ion battery materials, a boosting machine learning model was established to predict the material's bandgap. The optimal model, AdaBoost, was selected, and the SHapley Additive exPlanations (SHAP) method was used to quantitatively analyze the importance of different input features in relation to the model's prediction accuracy.
View Article and Find Full Text PDFJ Environ Manage
January 2025
Universidad Autónoma de Nuevo León, Facultad de Agronomía, Laboratorio de Ciencias Naturales, General Escobedo, 66050, Nuevo Leon, Mexico. Electronic address:
The chemical co-precipitation method was used to synthesize a variety of pure BiO and substituted BiCoCdO NPs (x = 0.0-0.8) and doping influences were evaluated based on the optical, photocatalytic, morphological, and structural characteristics.
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