In this study, Yb:YAG-nanocrystal-doped silica glass with high transmission and excellent spectral properties was successfully prepared using a modified sol−gel method. The X-ray diffraction (XRD), micro-Raman spectroscopy, electron paramagnetic resonance (EPR), transmission electron microscopy (TEM), and high-resolution TEM (HR-TEM) analyses confirmed that the Yb:YAG nanocrystals, with their low content, homogeneous distribution, and small crystal size, directly crystallized into the silica glass network without annealing treatment. In contrast with conventional microcrystalline glass having large particles (>0.1 μm) and a large particle content, nanocrystalline glass with a homogeneous distribution and sizes of ~22 nm had higher optical transmittance and better spectral properties. Compared with Yb3+ doped silica glass without nanocrystals, the Yb:YAG-nanocrystal-doped silica glass had a 28% increase in absorption cross-section at 975 nm and a 172% enhanced emission cross-section at 1030 nm without any changes in the spectral pattern of the Yb3+ ions in the silica glass. Meanwhile, the Yb:YAG-doped silica glass with large size and high optical quality was easily prepared. Therefore, the Yb:YAG-nanocrystal-doped silica glass is expected to be a promising near-infrared laser material.
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http://dx.doi.org/10.3390/nano12081263 | DOI Listing |
Sci Rep
January 2025
College of Rare Earth, Jiangxi University of Science and Technology, Ganzhou, 341000, China.
Utilizing aerosol jet printing (AJP), this study achieves a breakthrough in fabricating luminescent fibers with superior optical performance and flexibility. The YO:Eu coated high silica glass fibers demonstrate luminous efficiency twice that of traditional methods, retaining 80% after 250 bending cycles and 90% after sweat immersion. This AJP technique not only elevates the potential of smart fabrics but also represents a significant innovation in lighting technology, providing new ideas for advanced functional fiber fabrication.
View Article and Find Full Text PDFACS Phys Chem Au
January 2025
Department of Chemistry, McGill University, Montréal, Québec H3A 0B8, Canada.
Amorphous solids form an enormous and underutilized class of materials. In order to drive the discovery of new useful amorphous materials further we need to achieve a closer convergence between computational and experimental methods. In this review, we highlight some of the important gaps between computational simulations and experiments, discuss popular state-of-the-art computational techniques such as the Activation Relaxation Technique (ARTn) and Reverse Monte Carlo (RMC), and introduce more recent advances: machine learning interatomic potentials (MLIPs) and generative machine learning for simulations of amorphous matter (e.
View Article and Find Full Text PDFHeliyon
January 2025
Department of Civil, Constructional and Environmental Engineering, Sapienza University of Rome, Rome, Italy.
Geopolymerization is a soil improvement technique widely used for waste management in recent years. This study explores the potential of geopolymerization for roadbed improvement using waste materials. Recycled glass powder (RGP) and calcium carbide residue (CCR) were investigated as precursors and alkaline activators, respectively, to enhance the properties of silty sand soil.
View Article and Find Full Text PDFWest Afr J Med
September 2024
.Department of Preventive Dentistry, Lagos State University, College of Medicine, Faculty of Dentistry, Ikeja, Lagos, PMB 21266, Nigeria.
Background: Indirect pulp capping is the main treatment modality for reversible pulpitis.
Objective: To evaluate the efficacy of Biodentine® and Calcium hydroxide in the formation of dentin bridge.
Materials And Methods: A double blinded, randomized clinical control trial involving 50 consenting subjects, aged 16 to 55 years with deep carious vital teeth.
Gels
January 2025
Key Laboratory of Original Agro-Environmental Pollution Prevention and Control (Ministry of Agriculture and Rural Affairs (MARA)), Tianjin Key Laboratory of Agro-Environment and Agro-Product Safety, Agro-Environmental Protection Institute, MARA, Tianjin 300191, China.
To expand the applications of hydrophobic silica aerogels derived from rice husk ash (HSA) through simple traditional methods (without adding special materials or processes), this paper employs machine learning to establish mathematical models to identify optimal conditions for extracting water glass and investigates how preparation conditions and heat treatment temperatures affect properties such as the porosity and hydrophobicity of HSA. The results indicate that the decision tree regression model provides the most accurate predictions for the extraction rate and modulus of water glass. Notably, the water contact angle of HSA produced using nitric acid as a catalyst can reach as high as 159.
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