Layer-by-Layer Fabrication of High-Performance Broadband Anti-reflection Coatings Comprising Oppositely Charged Nanosheets and Nanoparticles

In this study, we fabricated broadband anti-reflection coatings using a method based on layer-by-layer self assembly of positively charged layer double hydroxide (LDH) nanosheets and negatively charged silica nanoparticles via electrostatic interaction. Scanning electron microscopy and atomic force microscopy were used to observe the morphology, structure, and surface topography of LDH/SiO2 multilayer coatings. The anti-reflection properties of the coatings were investigated by UV visible spectrophotometry. Glass substrates covered with the LDH/SiO2 multilayer coatings exhibited broadband anti-reflection properties. The obtained [LDH(0.4 g/L)/SiO2(25 nm)]8, [LDH(0.4 g/L)/SiO2(50 nm)]10, and [LDH(0.8 g/L)/SiO2(25 nm)]6 coatings exhibited the best broadband anti-reflection properties among the as-prepared LDH/SiO2 multilayer coatings with different deposition cycles. Transmission levels of 97% were achieved in these optimal systems. Moreover, a maximum transmittance of 98% was achieved at a wavelength of 550 nm in the [LDH(0.4 g/L)/SiO2(25nm)]8 system and at 700 nm in the [LDH(0.8 g/L)/SiO2(25nm)]6 system. Different packing patterns of the two oppositely charged nanomaterials (dense packing of LDH nanosheets and loose stacking of silica nanoparticles) and the moderate textured surface of the coatings contributed to the enhanced light transmission and reduced wavelength dependence in the UV visible spectral range

What makes successful equity crowdfunding campaigns? A machine learning analysis of information cues

This study innovatively integrates signaling theory with information cue theory to examine the diagnosticity of various information cues in predicting equity crowdfunding success. Analyzing data from 144 campaigns on China's Dreammove platform (2014-2019) through five machine learning models, we find that quantitative information cues are most predictive of funding success. Narrative cues also hold diagnostic value, albeit to a lesser extent, while visual cues are limited in their predictive capacity. Employing Shapley Additive exPlanations (SHAP) interpretability, we identify larger entrepreneurial teams, ambitious funding targets, concise, accessible narratives, and modest visual elements like youthfulness and clarity enhance campaign appeal. This research advances the understanding of how investors process information in equity crowdfunding, offering new insights by moving beyond single-dimensional analyses and providing practical guidance for entrepreneurs and investors in emerging crowdfunding markets

What makes successful equity crowdfunding campaigns? A machine learning analysis of information cues

This study innovatively integrates signaling theory with information cue theory to examine the diagnosticity of various information cues in predicting equity crowdfunding success. Analyzing data from 144 campaigns on China's Dreammove platform (2014-2019) through five machine learning models, we find that quantitative information cues are most predictive of funding success. Narrative cues also hold diagnostic value, albeit to a lesser extent, while visual cues are limited in their predictive capacity. Employing Shapley Additive exPlanations (SHAP) interpretability, we identify larger entrepreneurial teams, ambitious funding targets, concise, accessible narratives, and modest visual elements like youthfulness and clarity enhance campaign appeal. This research advances the understanding of how investors process information in equity crowdfunding, offering new insights by moving beyond single-dimensional analyses and providing practical guidance for entrepreneurs and investors in emerging crowdfunding markets

Photochemical synthesis of ZnO/Ag₂O heterostructures with enhanced ultraviolet and visible photocatalytic activity

ZnO/Ag2O heterostructures were successfully synthesized via a simple one-step photochemical route.</p

Enhanced visible-light photocatalytic activity of Ag₂O/g-C₃N₄ p–n heterojunctions synthesized via a photochemical route for degradation of tetracycline hydrochloride

Ag2O/g-C3N4 p–n heterojunctions were successfully fabricated by a facile photochemical method and applied as a photocatalyst in the degradation of antibiotic tetracycline hydrochloride (TC-HCl) under visible light irradiation.</p