Historical Data Mining Deep Dive into Machine Learning-Aided 2D Materials Research in Electrochemical Applications [0.03%]
基于历史数据挖掘的机器学习辅助二维材料电化学应用研究综述及展望
Krittapong Deshsorn,Panwad Chavalekvirat,Somrudee Deepaisarn et al.
Krittapong Deshsorn et al.
Machine learning transforms the landscape of 2D materials design, particularly in accelerating discovery, optimization, and screening processes. This review has delved into the historical and ongoing integration of machine learning in 2D ma...
Yifan Zeng,Jun Wang,Fengwang Li et al.
Yifan Zeng et al.
The rational exploration and design of high-performance, stable electrocatalysts are crucial for efficient renewable energy storage, conversion, and utilization. Artificial intelligence (AI) is revolutionizing this field by significantly re...
Molecular Modeling-Based Machine Learning for Accurate Prediction of Gas Diffusivity and Permeability in Metal-Organic Frameworks [0.03%]
基于分子模拟的机器学习在金属有机框架材料气体扩散和渗透预测中的应用研究
Pelin Sezgin,Feride Neva Yüngül,Beste Naz Karaca et al.
Pelin Sezgin et al.
Gas diffusion determines the performance of metal-organic frameworks (MOFs) in various practical applications, including membrane-based separations, yet its experimental measurement is challenging. We presented an efficient computational fr...
Emerging Vapor-Phase Growth Methods for Halide Perovskite Thin Films and Nanostructures [0.03%]
卤化物钙钛矿薄膜和纳米结构的蒸汽法生长技术的新进展
Pushpender Yadav,Ajay Sah,Caitlin N Ewald et al.
Pushpender Yadav et al.
Metal halide perovskites (MHPs) have emerged as a class of highly efficient semiconductor materials, attracting widespread interest for their potential applications in photovoltaics, light-emitting diodes, photodetectors, and transistors. V...
Investigation of Transdermal Drug Delivery and In Vivo Pharmacokinetics of Choline Ketoprofen Ionic Liquid [0.03%]
氯丙酮酚离子液体经皮给药及体内药代动力学研究
Yimei Tang,Rong Wang,Qian Bai et al.
Yimei Tang et al.
To solve the bioavailability of nonsteroidal anti-inflammatory drugs and reduce their clinical risks, this study combined density functional theory (DFT) calculations with experiments and investigated the mechanism of in vitro transdermal a...
Harnessing Polymeric Xerogels for Enhanced Wound Care: Properties, Mechanisms, and Applications [0.03%]
用于增强伤口护理的聚合物气凝胶：性质、机制及应用
Amrita Kumari,Sweta Acharya,Gautam Singhvi et al.
Amrita Kumari et al.
Wounds significantly impact an individual's quality of life, necessitating a tailored approach to treatment based on the wound's stage of healing and condition. Exudate plays a natural role in recovery, but excessive amounts can complicate ...
Mild Synthesis of Ag-Decorated TiO2 Aerogels for Light-Driven CO2 Reduction [0.03%]
用于光驱动二氧化碳还原的银修饰二氧化钛气凝胶的温和合成法
David Kiwic,Elena Tervoort,Y Vi Thach et al.
David Kiwic et al.
Nanoparticle gelation is a powerful method for creating porous, crystalline, and translucent aerogels, but it requires stable, concentrated dispersions. Conventional methods for dispersing TiO2 often rely on strong acids like HCl, which are...
Structure and Sulfur: Tuning the Viscoelastic and Surface Properties of Natural Keratin Fibers [0.03%]
结构与硫含量：调节天然角蛋白纤维的粘弹性及表观性能
Caterina Czibula,Jana B Schaubeder,Glen J Smales et al.
Caterina Czibula et al.
Natural keratin fibers, such as wool, possess a complex hierarchical structure that governs their mechanical properties and surface energy. However, the extent to which these characteristics are influenced by combined contributions of struc...
Boosting the Mechanical Strength and Photocatalytic Activity of 3D-Printed Titania Aerogels by Atomic Layer Deposition and Heat Treatment [0.03%]
利用原子层沉积和热处理增强三维打印TiO2气凝胶的机械强度和光催化性能
Malte M Schmidt,Tjark L R Gröne,Robert Zierold et al.
Malte M Schmidt et al.
Titania aerogels are highly porous materials optimal for photocatalysis due to their high surface area. Further spatial structuring by 3D printing improves gas diffusion in the aerogel, leading to a higher photocatalytic activity. However, ...
Accelerated Discovery of Cost-Effective Photoabsorber Materials for Near-Infrared (λ = 1600 nm) Photodetector Applications [0.03%]
低成本近红外（λ = 1600nm）光电探测器材料的加速发现
Wayne Zhao,Ruo Xi Yang,Aaron D Kaplan et al.
Wayne Zhao et al.
Current infrared sensing devices are based on costly materials with relatively few viable alternatives known. To identify promising candidate materials for infrared photodetection, we have developed a high-throughput screening methodology b...