Results 181 to 190 of about 138,341 (311)

Interacting Parallel Fluidic Hysterons

open access: yesAdvanced Science, EarlyView.
The parallel coupling of fluidic hysterons is introduced, establishing advanced functionalities in inflatable soft systems. A pressure–volume framework reveals how preset volumes Δv∗${\Delta }v^*$ tune nonlinear interactions between hysterons and actuation sequences without changing architecture. Experiments validate the predictions, opening new routes
Katrien Stinissen   +2 more
wiley   +1 more source

Carboxylate‐Driven Metal Pre‑Fixation COF@MOF Synthesis: Enabling Tailored Structural, Dimensional, and Defect Engineering

open access: yesAdvanced Science, EarlyView.
A universal metal pre‐fixation (MPF) strategy directs the precise crystallization of diverse metal‐organic frameworks (Co‐MOF, ZIF‐8, Fe‐MOF, UIO‐66) on covalent organic framework (PY‐COF) scaffolds. The resulting hierarchical hybrids exhibit tunable porosity, structural defective and dimensional, as well as enhanced performance in CH4/C2H6/C3H8 ...
Ying Zhao   +5 more
wiley   +1 more source

Bio‐Inspired Mechanical Amplification Block on Implantable Tactile Sensors

open access: yesAdvanced Electronic Materials, EarlyView.
 . ABSTRACT Implantable strain sensors offer opportunities for continuous biomechanical monitoring, but their performance deteriorates severely once embedded in soft tissue due to mechanical shielding that suppresses strain transmission to the sensing layer.
Sungbin Choi   +5 more
wiley   +1 more source

A Social Justice Approach to Assistive Technology and Well-Being of People With Visual Disabilities in Low- and Middle-Income Countries: Qualitative Narrative Study. [PDF]

open access: yesJMIR Rehabil Assist Technol
Ortiz-Escobar LM   +6 more
europepmc   +1 more source

Prediction of Structural Stability of Layered Oxide Cathode Materials: Combination of Machine Learning and Ab Initio Thermodynamics

open access: yesAdvanced Energy Materials, EarlyView.
In this work, we developed a phase‐stability predictor by combining machine learning and ab initio thermodynamics approaches, and identified the key factors determining the favorable phase for a given composition. Specifically, a lower TM ionic potential, higher Na content, and higher mixing entropy favor the O3 phase.
Liang‐Ting Wu   +6 more
wiley   +1 more source

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