Results 71 to 80 of about 29,990 (218)
Wearable Tailored Passive Radiative Cooling Textile for Flexible Electronic Integration
A scalable, additive‐free wearable tailored passive radiative cooling textile (WRCT) with hierarchically structured fibers delivers exceptional thermal management, combining >95% solar reflectance, 0.96 mid‐infrared emissivity, and ultralow thermal conductivity (0.041 W/m·K).
Lung Chow +24 more
wiley +1 more source
An unconventional asymmetric Layer‐by‐Layer (LbL) assembly technique was developed to fabricate a Fabry‐Pérot (F‐P) resonator, which enhances luminous transmittance (Tlum) and enables dual‐band modulation in both the near‐infrared (NIR) and mid‐infrared (MIR) regions.
Hebing Hu +10 more
wiley +1 more source
This study designs a targeted nanocomposite (ct@HMCF‐Dex) that responds to acidic infection microenvironments, releasing components which amplify oxidative stress. It disrupts bacterial redox balance, chelates metals to sustain lipid peroxidation, and synergistically induces cuproptosis/ferroptosis‐like death.
Zehui Xiao +6 more
wiley +1 more source
A multimodal strategy creates efficient semi‐transparent perovskite solar cells with a record 4.29% light utilization efficiency and 22.41% indoor performance. This approach enables the first scalable 30 x 30 cm2 semi‐transparent solar module, highlighting its potential for building‐integrated and indoor photovoltaics.
Siming Huang +16 more
wiley +1 more source
Correlation between seismic activity and acoustic emission on the basis of in situ monitoring [PDF]
Since April 2023 an in situ experimental campaign has been underway in a granite underground tunnel, which is a dedicated monitoring platform located in Southeast China. Acoustic emission (AE) signals and seismic sequences were recorded simultaneously by
Z. Zhu +3 more
doaj +1 more source
Explaining the Origin of Negative Poisson's Ratio in Amorphous Networks With Machine Learning
This review summarizes how machine learning (ML) breaks the “vicious cycle” in designing auxetic amorphous networks. By transitioning from traditional “black‐box” optimization to an interpretable “AI‐Physics” closed‐loop paradigm, ML is shown to not only discover highly optimized structures—such as all‐convex polygon networks—but also unveil hidden ...
Shengyu Lu, Xiangying Shen
wiley +1 more source
The domestic sewage in rural areas of South China is characterized by a relatively low concentration of organic pollutants; however, the factors causing this have not been carefully examined.
Ping Song +12 more
doaj +1 more source
This article introduces a computer vision‐assisted control strategy for light‐driven liquid crystal elastomer actuators. Through negative feedback regulation, the liquid crystal elastomer actuator exhibits accurate and stable bending deformation in complex environments.
Wei Zhang +6 more
wiley +1 more source
Modeling and Characterization of a Self‐Sensing Soft Hydraulic Muscle
This article presents the self‐sensing soft hydraulic muscle (SSHM), a novel soft actuator capable of simultaneously sensing force and length without external sensors. A comprehensive model accurately predicts SSHM behavior, validated experimentally with minimal errors. Using propylene glycol enhances durability and reduces hysteresis.
Nhu An Phan +8 more
wiley +1 more source
Artificial intelligence (AI) is reshaping autonomous mobile robot navigation beyond classical pipelines. This review analyzes how AI techniques are integrated into core navigation tasks, including path planning and control, localization and mapping, perception, and context‐aware decision‐making. Learning‐based, probabilistic, and soft‐computing methods
Giovanna Guaragnella +5 more
wiley +1 more source

