Results 121 to 130 of about 388 (201)
Flexible tactile sensors have considerable potential for broad application in healthcare monitoring, human–machine interfaces, and bioinspired robotics. This review explores recent progress in device design, performance optimization, and intelligent applications. It highlights how AI algorithms enhance environmental adaptability and perception accuracy
Siyuan Wang +3 more
wiley +1 more source
Predictive models successfully screen nanoparticles for toxicity and cellular uptake. Yet, complex biological dynamics and sparse, nonstandardized data limit their accuracy. The field urgently needs integrated artificial intelligence/machine learning, systems biology, and open‐access data protocols to bridge the gap between materials science and safe ...
Mariya L. Ivanova +4 more
wiley +1 more source
An Autonomous Large Language Model‐Agent Framework for Transparent and Local Time Series Forecasting
Architecture of the proposed large language model (LLM)‐based agent framework for autonomous time series forecasting in thermal power generation systems. The framework operates through a vertical pipeline initiated by natural language queries from users, which are processed by the LLM Agent Core powered by Llama.cpp and a ReAct loop with persistent ...
William Gouvêa Buratto +5 more
wiley +1 more source
Reflex Charging for Anion‐Derived Solid Electrolyte Interphase Formation
Reflex charging reprograms the electric double layer (EDL) during battery formation by periodically reversing electrode polarity, enabling persistent anion enrichment at the interface. This dynamic interfacial control shifts Li+ solvation toward anion‐coordinated states, promoting the formation of an inorganic‐rich, anion‐derived solid electrolyte ...
Gyeoul Seong +9 more
wiley +2 more sources
Machine learning serves as a central engine for the intelligent characterization of two‐dimensional materials by integrating multimodal techniques, including optical microscopy, spectroscopy, electron microscopy, and scanning probe microscopy (SPM). This unified framework enables automated, high‐throughput, and quantitative extraction of structural ...
Zhi‐Long Cao, Jia‐Xu Yan
wiley +1 more source
The systematic design of memristor‐based neural network is provided by analog conductance state parameters to accurately emulate the software‐based high‐resolution weight at discrete device level. The requirement of discrete analog conductance of memristor device is measured as ≈50 states with nonlinearity value of ≈0.142 within the deviation range of ...
Jingon Jang, Yoonseok Song, Sungjun Park
wiley +1 more source
Ionic Liquid Electrolytes for Extreme Temperature Conditions: Challenges and Perspective
Ionic liquids (ILs) have gained great attention as safe electrolyte components in recent years. This review elucidates the temperature effects on IL‐based electrolytes from molecular configurations, physicochemical properties, and interfacial chemistry, raises the challenges and design strategies operating at low‐ and HT, providing valuable guidance ...
En Xie +11 more
wiley +2 more sources
In our research, KOA rat models were established and treated with ADSC injection into the KI10 acupoint. Pain relief, behavioral function, and joint structural improvements were systematically assessed using ethological tests, imaging, histopathological staining, transmission electron microscopy, and molecular analyses.
Mengwei Dong +7 more
wiley +1 more source
An efficient radiosynthesis of fluorine‐18 labeled gluconic acid ([18F]FGA) was developed using two readily available materials, 2‐deoxy‐2‐[18F]fluoro‐D‐glucose ([18F]FDG) and glucose oxidase. [18F]FGA is highly specific for bacterial gluconate metabolism mediated by gluconate permease (GntP) and gluconate kinase (GntK), with rapid clearance, low off ...
Sang Hee Lee +7 more
wiley +2 more sources

