Results 151 to 160 of about 4,763,443 (385)
The novel kinetic Monte Carlo model presented here incorporates spatially‐ and time‐dependent electrical potential, which enables the precise study of the solid electrolyte interphase formation in Na‐ion batteries. The effects of electrolyte composition and charging conditions on the growth and behavior of the solid electrolyte interphase during the ...
Kie Hankins+4 more
wiley +1 more source
An anti‐inflammatory and antioxidant metal‐organic framework (MOF) nanoplatform was prepared via one‐pot self‐assembly. In vitro and in vivo studies demonstrated that the prepared MVPC nanoparticles can effectively scavenge overproduced reactive oxygen species at diseased sites, enhance IL‐10 secretion, and suppress VEGFA expression, offering a novel ...
Shundong Cai+12 more
wiley +1 more source
This study, utilizing two large‐cohort datasets, employs interpretable neural networks. It demonstrates that incorporating brain morphology and functional and structural networks enhances predictive accuracy for general psychopathology and its dimensions.
Jing Xia, Nanguang Chen, Anqi Qiu
wiley +1 more source
Power System Stabilizing Control by SMES Using Fuzzy Concept and Neural Network
Yasuhiro Kawakita+2 more
openalex +2 more sources
Tiling Robotics: A New Paradigm of Shape‐Morphing Reconfigurable Robots
Tiling robotics is a novel paradigm of shape‐morphing reconfigurable robots, defining them as polyform‐inspired machines capable of transforming between at least two polymorphic shapes. Various reconfiguration‐enabling and locomotion mechanisms of tiling robots are comparatively analyzed, with the electromechanical developments, along with a proposed ...
S. M. Bhagya P. Samarakoon+2 more
wiley +1 more source
Advancements in Machine Learning for Microrobotics in Biomedicine
Microrobotics is an innovative technology with great potential for noninvasive medical interventions. However, controlling and imaging microrobots pose significant challenges in complex environments and in living organisms. This review explores how machine learning algorithms can address these issues, offering solutions for adaptive motion control and ...
Amar Salehi+6 more
wiley +1 more source
GelLight: Illumination Design, Modeling, and Optimization for Camera‐Based Tactile Sensor
A systematic modeling and optimization method for camera‐based tactile sensor illumination is proposed, which significantly improves the tactile performance and achieves high geometry reconstruction accuracy. The performance is validated by intensive simulation and real‐world experiments.
Jieji Ren+7 more
wiley +1 more source