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Alloying lanthanide ions (Yb) into perovskite quantum dots (Yb:CsPb(ClBr)) is an effective method to achieve efficient near-infrared (NIR) luminescence (>950 nm). Increasing the Yb alloying ratio in the perovskite matrix enhances the luminescence intensity of Yb emission at 990 nm. However, high Yb alloying (>15%) results in vacancy-induced inferior material stability. In this work, we developed a polarity-mediated antisolvent manipulation strategy to resolve the incompatibility between a high Yb alloying ratio and inferior stability of Yb:CsPb(ClBr). Precise control of solution polarity enables increased uniformity of the perovskite matrix with fewer trap densities. Employing this strategy, we obtain Yb:CsPb(ClBr) with the highest Yb alloying ratio of 30.2% and a 2-fold higher electroluminescence intensity at 990 nm. We lever the engineered Yb:CsPb(ClBr) to fabricate NIR-LEDs, achieving a peak external quantum efficiency (EQE) of 8.5% at 990 nm: this represents the highest among perovskite NIR-LEDs with an emission wavelength above 950 nm.
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http://dx.doi.org/10.1021/acs.nanolett.3c04586 | DOI Listing |
PLoS One
September 2025
Mechanical and Nuclear Engineering Department, Khalifa University of Science and Technology, Abu Dhabi, United Arab Emirates.
Sectionally nonlinearly functionally graded (SNFG) structures with triply periodic minimal surface (TPMS) are considered ideal for bone implants because they closely replicate the hierarchical, anisotropic, and porous architecture of natural bone. The smooth gradient in material distribution allows for optimal load transfer, reduced stress shielding, and enhanced bone ingrowth, while TPMS provides high mechanical strength-to-weight ratio and interconnected porosity for vascularization and tissue integration. Wherein, The SNFG structure contains sections with thickness that varies nonlinearly along their length in different patterns.
View Article and Find Full Text PDFACS Appl Mater Interfaces
September 2025
Department of Pediatric Dentistry (Department of Preventive Dentistry), School and Hospital of Stomatology, Cheeloo College of Medicine, Shandong University, No.44-1 Wenhua Road West, 250012 Jinan, Shandong, China.
Guided bone regeneration (GBR) is a prominent focus in biomedical materials research, yet few studies address practical clinical needs. GBR membranes must fulfill the "PASS" principles to be effective in surgery, but existing membranes often fall short in balancing antibacterial activity, controlled degradation, osteoinductive potential, and mechanical support. In this study, we employed laser powder bed fusion (LPBF) to fabricate a porous WE43 magnesium alloy scaffold suitable for large alveolar bone defects.
View Article and Find Full Text PDFAngew Chem Int Ed Engl
September 2025
Key Laboratory of Molecular Nanostructure and Nanotechnology, Beijing National Laboratory for Molecular Sciences, CAS Research/Education Center for Excellence in Molecular Sciences, Institute of Chemistry, Chinese Academy of Sciences, Beijing, 100190, P.R. China.
Alloy anodes with high specific capacity are extensively utilized in all-solid-state batteries (ASSBs). However, they are challenged by interfacial kinetic and mechanical issues. Real-time investigation of interfacial failure mechanisms at the nanoscale is crucial for optimizing the alloy anodes.
View Article and Find Full Text PDFRSC Adv
August 2025
Institute of Materials Science, Vietnam Academy of Science and Technology No. 18 Hoang Quoc Viet Str., Nghia Do Ward Hanoi Vietnam +84 912 774 333.
This work investigates the impact of Mg/Ni atomic ratios (75 : 25 and 66.7 : 33.3) on the formation of MgNi phases and their hydrogen storage performance.
View Article and Find Full Text PDFJ Am Chem Soc
September 2025
Department of Materials Process Engineering, Graduate School of Engineering, Nagoya University, Furu-cho, Chikusa-ku, Nagoya 464-8603, Japan.
High-entropy alloys (HEAs) have recently emerged as promising electrocatalysts for complex reactions owing to their tunable electronic structures and diverse, unique binding sites. However, their vast compositional space, in terms of both elemental variety and atomic ratios, presents a major challenge to the rational design of high-performance catalysts, as experimental efforts are often hindered by ambiguous element selection and inefficient trial-and-error methods. In this work, a bottom-up research strategy using machine learning-assisted first-principles calculations was applied to accelerate the design of quinary HEAs toward efficient multielectron transfer reactions.
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