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Anti-wetting wing surface characteristics of a water bug, Diplonychus annulatus.
Biosystems
January 2025
Additive Manufacturing Research laboratory, Department of Mechanical Engineering, Indian Institute of Technology, Jammu, Jammu 181221, J&K, India. Electronic address:
Diplonychus annulatus sp. (family Belostomidae and order Hemipetra) is an aquatic water bug, adapted to ponds and wetlands. Commonly referred to as toe-biters or electric-light bugs, both the nymph and the adults prey on other invertebrates in the water.
View Article and Find Full Text PDFCapillary-Assisted Confinement Assembly for Advanced Sensor Fabrication: From Superwetting Interfaces to Capillary Bridge Patterning.
ACS Nano
January 2025
International Research Institute for Multidisciplinary Science, Beihang University, Beijing 100191, China.
Precise patterning of sensing materials, particularly the long-range-ordered assembly of micro/nanostructures, is pivotal for improving sensor performance, facilitating miniaturization, and enabling seamless integration. This paper examines the importance of interfacial confined assembly in sensor patterning, including gas-liquid and liquid-liquid confined assembly, wettability-assisted or microstructure-assisted solid-liquid interfacial confined assembly, and tip-induced confined assembly. The application of capillary bridge confined assembly technology in chemical sensors, flexible electronics, and optoelectronics is highlighted.
View Article and Find Full Text PDFEnhanced Efficiency of Anionic Guerbet-Type Amino Acid Surfactants.
Langmuir
January 2025
Research Focus Area for Chemical Resource Beneficiation, Catalysis and Synthesis Research Group, North-West University, 11 Hoffman Street, Potchefstroom 2522, South Africa.
This study investigates the surfactant properties and efficiency of linear and Guerbet-type amino acid surfactants. Utilizing a Wilhelmy plate method, we assessed the colloidal efficiency of these surfactants, with the lowest observed critical micelle concentration at 0.046 mmol L, significantly reducing surface tension to as low as 25.
View Article and Find Full Text PDFInterpretable flash flood susceptibility mapping in Yarlung Tsangpo River Basin using H2O Auto-ML.
Sci Rep
January 2025
Key Laboratory of Water Cycle and Related Land Surface Processes, Institute of Geographic Sciences and Natural Resources Research (IGSNRR), Chinese Academy of Sciences (CAS), Beijing, 100101, China.
Flash flood susceptibility mapping is essential for identifying areas prone to flooding events and aiding decision-makers in formulating effective prevention measures. This study aims to evaluate the flash flood susceptibility in the Yarlung Tsangpo River Basin (YTRB) using multiple machine learning (ML) models facilitated by the H2O automated ML platform. The best-performing model was used to generate a flash flood susceptibility map, and its interpretability was analyzed using the Shapley Additive Explanations (SHAP) tree interpretation method.
View Article and Find Full Text PDFSurface Wettability Modeling and Predicting via Artificial Neural Networks.
Materials (Basel)
January 2025
Institute of Mechanical Technology, Poznan University of Technology, 60-965 Poznan, Poland.
Surface wettability, defined by the contact angle, describes the ability of a liquid to spread over, absorb or adhere to a solid surface. Surface wetting analysis is important in many applications, such as lubrication, heat transfer, painting and wherever liquids interact with solid surfaces. The behavior of liquids on surfaces depends mainly on the texture and chemical properties of the surface.
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