Results 251 to 260 of about 68,401 (348)

Chemically‐Disordered Transparent Conductive Perovskites With High Crystalline Fidelity

open access: yesAdvanced Science, EarlyView.
Kinetically arrested, chemically disordered perovskite thin films exhibit exquisite crystalline fidelity, broad IR–UV transparency, and low resistivity, despite incorporating five mismatched 3d–5d cations, including Cr and W. This study unites electronic correlation, cation diversity, valence complexity, and disorder—enabling new transparent conductors
Saeed S. I. Almishal   +18 more
wiley   +1 more source

A Three‐Phase Electrostatic Clutch with Variable Mechanical Impedance Control for Soft Robotic Systems

open access: yesAdvanced Science, EarlyView.
The research introduces a three‐phase electrostatic (ES) clutch with variable mechanical impedance control, specifically designed to enable continuous and precise friction modulation, thereby reducing both force degradation and oscillatory motion. This method effectively resolves conventional ES clutch issues, such as residual charge accumulation and ...
Dongyoung Lee, Heejin Yu, Joonbum Bae
wiley   +1 more source

Hierarchically Porous Multiphase Si‐Based Ceramics with Synergistic Electromagnetic Wave Absorption Mechanisms

open access: yesAdvanced Science, EarlyView.
A novel multiphase Si‐based ceramic material with hierarchical porosity is devised via one‐step etching activation of carbon‐rich polycarbosilane ceramics. Integrating free carbon, SiC crystals, amorphous SiOC, and engineered porosity, the material surprisingly achieves exceptional electromagnetic absorption performance, offering new insights into the ...
Jiaojiao Jiang   +5 more
wiley   +1 more source

Fracture-Dislocation of the Hip Joint

open access: bronze, 1970
Itsurou Kaichi   +9 more
openalex   +2 more sources

Integrated Metabolic and Inflammatory Clustering Reveals Distinct Risk Profiles for Digestive Diseases

open access: yesAdvanced Science, EarlyView.
This study analyzes 398 432 participants, identifying four distinct metabolic‐inflammatory subtypes. These subtypes show a significant association with digestive disease risk. Cluster‐associated metabolite signatures partially explain this link. Machine learning models using these metabolites accurately predict risk for ten digestive diseases. Key risk
Zhenhe Jin   +10 more
wiley   +1 more source

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