Results 141 to 150 of about 19,422 (259)

Strain‐Activated Mechanical Metamaterial With Programmable Dual‐Phase Stiffness and Enhanced Energy Absorption

open access: yesAdvanced Materials Technologies, EarlyView.
A strain‐activated mechanical metamaterial is developed to achieve programmable dual‐phase stiffness through an intrinsic geometric locking mechanism. Finite element modeling and parametric analysis identify the key design parameters governing activation strain, stiffness transition, and energy absorption.
Ramin Yousefi‐Nooraie   +3 more
wiley   +1 more source

Programmable Pneumatic Actuator System for a Bioinspired Artificial Colon

open access: yesAdvanced Materials Technologies, EarlyView.
A modular soft robotic colon simulator driven by programmable pneumatic actuation is developed to mimic physiological and pathological‐like motility patterns of the large intestine. Finite element–guided design and distributed control enable anatomically realistic deformation for peristalsis, segmentation, and mass movements, supporting capsule ...
Andrew Bickerdike   +6 more
wiley   +1 more source

Defect‐Engineered ZnO Nanowire Arrays for Flexible Room‐Temperature Hydrogen Sensors

open access: yesAdvanced Materials Technologies, EarlyView.
Fabrication process of patterned ZnO nucleation sites on a flexible polyimide (PI) substrate. Top/tilted‐view SEM images of ordered ZnO nanoflower arrays confined within patterned circular regions. AFM topography map with height data revealing a disk‐array structure, where the patterned regions (marked by a red dot circle) are elevated by ∼2 µm ...
Jun‐Ting Wang   +7 more
wiley   +1 more source

A novel energy efficient QoS secure routing algorithm for WSNs. [PDF]

open access: yesSci Rep
Fei H   +6 more
europepmc   +1 more source

Low‐Pressure Plasma‐Based Wrinkling of PDMS and Machine Learning‐Driven Property Engineering

open access: yesAdvanced Materials Technologies, EarlyView.
Wrinkled surfaces are well‐suited for controlled surface deformations in the µm range. The key challenge is the relation between the resulting wrinkle features and the necessary process conditions. Machine learning techniques have solved the prediction and inverse design problems for various preparation conditions, opening a precisely controlled ...
Fabian Kopsch   +7 more
wiley   +1 more source

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