Results 191 to 200 of about 2,302,430 (290)

Probabilistic Computing via Gate‐Tunable Random Telegraph Noise

open access: yesAdvanced Science, EarlyView.
Intrinsic random telegraph noise in metal–oxide–semiconductor field‐effect transistors is harnessed to create gate‐tunable probabilistic bits. By modulating carrier‐trapping dynamics, the device produces stochastic binary outputs with a continuous bias‐to‐probability transfer.
Gyungwon Yun   +8 more
wiley   +1 more source

Amphibious Movement of Microrobots Inspired by Water Spiders

open access: yesAdvanced Science, EarlyView.
Inspired by the water strider, a novel microrobot is designed to maintain amphibious mobility in complex environments. It retains the ability to traverse the air‐liquid interface and perform directional movement within sophisticated, multifaceted environments, including complex gastric wall structures, with precise controllability.
Xiao Hu   +7 more
wiley   +1 more source

Mechanophore‐Based Multichannel Colorimetric Force Sensors: Ultrasound‐Driven Stress and Strain Quantification

open access: yesAdvanced Science, EarlyView.
ABSTRACT Mechanophores with mechanochromic properties have attracted significant attention as force‐responsive materials for structural sensing. However, their applications remain mainly limited to qualitative force visualization, as direct and quantitative extraction of mechanical parameters such as stress and strain from mechanochromic responses has ...
Seungo Baek   +8 more
wiley   +1 more source

Temporal dynamics of urban gas pipeline risks. [PDF]

open access: yesSci Rep
Rahimi F   +4 more
europepmc   +1 more source

An Unbiased Geometry‐Resolved Membrane Platform for Proteome‐Scale Discovery of Membrane Curvature Sensors

open access: yesAdvanced Science, EarlyView.
A novel geometry‐resolved membrane platform provides a seamlessly integrated pipeline for studying curvature‐sensing proteins. By linking shotgun proteomics with quantitative imaging, this approach enables both the unbiased discovery and rigorous validation of novel sensors across the entire curvature range—positive, negative, and zero.
Takumi Komikawa   +6 more
wiley   +1 more source

Artificial Intelligence for Fluorite Ferroelectric Materials: From Discovery to Optimization

open access: yesAdvanced Electronic Materials, EarlyView.
Artificial intelligence accelerates the discovery and optimization of HfO2‐based fluorite ferroelectrics by linking synthesis, structure, properties, and device performance. Machine learning, deep‐learning analysis, and AI‐driven atomistic modeling enable predictive design, dopant screening, and closed‐loop optimization toward next‐generation ...
Faizan Ali   +3 more
wiley   +1 more source

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