Results 121 to 130 of about 2,852,031 (256)

Electrohydraulic Folding Ring Actuators for Radially Contracting Applications

open access: yesAdvanced Science, EarlyView.
This work presents an Electrohydraulic Folding Ring Actuator that combines high‐performance electrohydraulic actuation with origami‐inspired folding geometry to achieve constricting radial actuation. This integration yields significant inner lumen constriction, alongside a gripping force capable of holding objects exceeding four times the actuator's ...
Gavril Yong En Tan   +4 more
wiley   +1 more source

Hierarchical Ordering Induced Ultrahigh Cryogenic Strength and Strain Hardening in a Ni2CoFeV Medium‐Entropy Alloy

open access: yesAdvanced Science, EarlyView.
A tri‐phase Ni2CoFeV medium‐entropy alloy with fcc, κ, and L12 phases achieves exceptional cryogenic strength‐ductility synergy at 77 K. It delivers a yield strength of 1.4 GPa, an ultimate tensile strength of 2.07 GPa and a tensile ductility of 28%.
Lei Gu   +4 more
wiley   +1 more source

Making Sweat Measurable: Induction, Sampling, and Refreshment in Wearable Biofluid Sensing

open access: yesAdvanced Science, EarlyView.
Wearable sweat sensing relies not only on chemical detection but also on controlled biofluid management. This Review integrates sweat physiology, induction strategies, and microfluidic sampling architectures, demonstrating how flux, transport, and refreshment shape measurement reliability.
Soyoung Shin, Wei Gao
wiley   +1 more source

A Multimodal Magnetically Driven Soft Robot With Integrated Actuation‐Sensing Based on Photothermal Reprogramming Technology

open access: yesAdvanced Science, EarlyView.
This work reports a thermally safe, photothermally reprogrammable magnetic soft robot with its reprogramming temperature tuned to ∼39.5°C for biocompatibility. It achieves multimodal locomotion (max speed of 1.8 BL/s) and integrates liquid‐metal capacitive sensing to monitor self‐motion and detect environmental changes in simulated gastric environments,
Liu Yang   +5 more
wiley   +1 more source

Machine Learning‐Driven Prediction of Microplastic Aging Processes and Environmental Risk Assessment Across Multi‐Media Systems

open access: yesAdvanced Science, EarlyView.
This perspective proposes a cohesive machine learning strategy to decode microplastic aging. It advocates for Federated Learning to dismantle global data silos and introduces the TRACE framework (TRansport, Aging, Corona, Ecotoxicity). By integrating physics‐informed modeling with causal discovery, this approach bridges the laboratory‐field gap to ...
Yaping Lyu   +6 more
wiley   +1 more source

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