Results 271 to 280 of about 53,297 (369)
Emerging Opportunities of Metal Nanoclusters for Photocatalytic Organic Synthesis
Atomically precise metal nanoclusters have emerged as versatile photocatalysts for photo‐induced organic reactions. This review comprehensively summarizes recent advances in this cutting‐edge research field. We begin the discussion with a brief introduction of metal nanoclusters and the fundamental principles of photocatalysis.
Chun‐Lian Lin +4 more
wiley +1 more source
We report a method to synthesize chiral unsubstituted PPP with high molecular weights and the chirality transfer from individual CNC to PPP via intermolecular forces. PPP immobilized on CNCs exhibits right‐handed helical intra‐ and inter‐chain self‐assembly, and CNC–PPP clusters display various pronounced optical properties, which provide strategies ...
Qun Song +12 more
wiley +1 more source
Atomically Precise Coinage Metal Nanocluster Photocatalysts: Recent Advances in Organic Synthesis
This review surveys atomically precise coinage metal nanoclusters as photocatalysts for visible‐light‐driven organic synthesis. It highlights their role in diverse transformations via energy or electron transfer, and discusses structure–activity relationships for future catalyst design.
Li‐Juan Liu, Jian He
wiley +1 more source
Designing Memristive Materials for Artificial Dynamic Intelligence
Key characteristics required of memristors for realizing next‐generation computing, along with modeling approaches employed to analyze their underlying mechanisms. These modeling techniques span from the atomic scale to the array scale and cover temporal scales ranging from picoseconds to microseconds. Hardware architectures inspired by neural networks
Youngmin Kim, Ho Won Jang
wiley +1 more source
Left bundle branch area pacing prevails over His bundle pacing for heart failure patients undergoing atrioventricular node ablation in permanent atrial fibrillation: a network meta-analysis. [PDF]
Ding JW +7 more
europepmc +1 more source
Feature selection combined with machine learning and high‐throughput experimentation enables efficient handling of high‐dimensional datasets in emerging photovoltaics. This approach accelerates material discovery, improves process optimization, and strengthens stability prediction, while overcoming challenges in data quality and model scalability to ...
Jiyun Zhang +5 more
wiley +1 more source
Flexible Memory: Progress, Challenges, and Opportunities
Flexible memory technology is crucial for flexible electronics integration. This review covers its historical evolution, evaluates rigid systems, proposes a flexible memory framework based on multiple mechanisms, stresses material design's role, presents a coupling model for performance optimization, and points out future directions.
Ruizhi Yuan +5 more
wiley +1 more source
This paper presents a computer vision (deep learning) pipeline integrating YOLOv8 and YOLOv9 for automated detection, segmentation, and analysis of rosette cellulose synthase complexes in freeze‐fracture electron microscopy images. The study explores curated dataset expansion for model improvement and highlights pipeline accuracy, speed ...
Siri Mudunuri +6 more
wiley +1 more source

