Results 71 to 80 of about 88,074,208 (247)
Data‐Driven Materials Science for Energy‐Sustainable Applications
Data‐driven approaches powered by artificial intelligence are transforming materials discovery for energy sustainability. This review examines how auto‐generated high‐quality materials databases and domain‐specific language models accelerate research in photovoltaics, thermoelectrics, batteries and magnetic materials. Applications involve extraction of
Jacqueline M. Cole
wiley +1 more source
This study investigated the use of machine learning techniques for the classification of the propagation environment in vehicle-to-vehicle (V2V) communication systems under varying environmental conditions, to improve communication reliability and energy
Nuğman Sağır, Zeynep Hasırcı Tuğcu
doaj +1 more source
Artificial Intelligence Meets Micro/Nanorobotics
Artificial intelligence is transforming micro‐ and nanorobots from externally controlled, task‐specific machines into adaptive, autonomous systems. Machine learning, multimodal perception, digital twins, AI‐guided materials and geometry design enhance propulsion, localization, decision‐making, whichaccelerates clinical and environmental applications ...
Fatma M. Yurtsever +6 more
wiley +1 more source
With the development of technologies related to unmanned vehicles, including unmanned aerial vehicle and unmanned surface vehicle, unmanned vehicles play a pivotal role in maritime management and cruise activities.
Yong Ma +4 more
doaj +1 more source
Adjacent Vehicle Number-Triggered Adaptive Transmission for V2V Communications
For vehicle-to-vehicle (V2V) communication, such issues as continuity and reliability still have to be solved. Specifically, it is necessary to consider a more scalable physical layer due to the high-speed mobility of vehicles and the complex channel ...
Yiqiao Wei +2 more
doaj +1 more source
A cholesterol‐conjugated lipid library enabled the identification of a ligand‐free LNP platform for efficient mRNA delivery to brain endothelial cells via systemic administration. This platform achieves selective BBB targeting without disrupting barrier integrity, and enables modulation of neuroinflammation and vascular function without requiring trans‐
Zeru Tian +7 more
wiley +1 more source
Multilayer aerosol jet printed components with a low‐loss, thermally stable dielectric are demonstrated using benzocyclobutene. Ink formulation and in‐line droplet evaporation control support high‐quality, versatile, and stable printing performance. A specialized measurement for low‐loss materials reveals promising microwave properties, which, combined
Md Ramjan Ali +3 more
wiley +1 more source
On‐Chip Photonic Neural Network Architectures
This review presents a comprehensive overview of on‐chip photonic neural network architectures, covering key photonic building blocks, representative network types, and emerging applications. Recent advances, implementation challenges, and future directions are examined, highlighting the potential of integrated photonics to enable ultrafast, energy ...
Seokjin Hong +7 more
wiley +1 more source
Soft Actuators Integrated with Control and Power Units: Approaching Wireless Autonomous Soft Robots
Soft robots exhibit significant development potential in various applications. However, there are still key technical challenges regarding material improvement, structure design and components integration. This review focuses on the development and challenge of soft actuators, power components, and control components in untethered intelligent soft ...
Renwu Shi, Feifei Pan, Xiaobin Ji
wiley +1 more source
Vehicle-to-Vehicle Communication Channel Estimator Based on Gate Recurrent Unit
With the development of autonomous vehicle operation, vehicle-to-vehicle (V2V) communication plays an increasingly important role. However, in high-speed mobile environments, the channel has fast time-varying, which significantly decreases the property ...
Jun-Han Wang +5 more
doaj +1 more source

