Results 211 to 220 of about 79,851 (290)

Process Tomography on a 7-Qubit Quantum Processor via Tensor Network Contraction Path Finding

open access: green, 2021
Aidan Dang   +3 more
openalex   +2 more sources

Synthetic Active Liquid Crystals Powered by Acoustic Waves

open access: yesAdvanced Materials, EarlyView.
A fully synthetic active liquid crystal, energized by an acoustic field, is presented. This system exhibits active nematic behavior, tunable topological defect dynamics, and persistent hydrodynamic vortices at high activity levels. The material maintains stable properties while enabling precise activity control in a wide range.
Andrey Sokolov   +3 more
wiley   +1 more source

Lagrangian Split-Step Method for Viscoelastic Flows. [PDF]

open access: yesPolymers (Basel)
Bašić M   +4 more
europepmc   +1 more source

A Body Conformal Ultrasound Receiver for Efficient and Stable Wireless Power Transfer in Deep Percutaneous Charging

open access: yesAdvanced Materials, EarlyView.
Implantable devices rely on batteries that demand surgical replacement, posing risks, and financial burdens. Ultrasound energy transfer (US‐ET) offers a revolutionary wireless alternative but struggles with efficiency. The presented dielectric‐ferroelectric‐boosted US‐TENG (US‐TENGDF‐B) is thin, flexible, and biocompatible that provides high‐efficiency
Iman M. Imani   +15 more
wiley   +1 more source

Advancements in Carbon‐Based Piezoelectric Materials: Mechanism, Classification, and Applications in Energy Science

open access: yesAdvanced Materials, EarlyView.
Carbon‐based piezoelectric materials are systematically categorized based on their structural and functional properties. The mechanisms of stress‐induced charge transfer are elucidated, and their applications are explored across three key domains: piezoelectric catalysis for energy conversion and environmental remediation, piezoelectric biomedical ...
Mude Zhu   +3 more
wiley   +1 more source

Deep learning-based analysis of 12-lead electrocardiograms in school-age children: a proof of concept study. [PDF]

open access: yesFront Cardiovasc Med
Toba S   +13 more
europepmc   +1 more source

Characterization and Inverse Design of Stochastic Mechanical Metamaterials Using Neural Operators

open access: yesAdvanced Materials, EarlyView.
This study presents a DeepONet‐based machine learning framework for designing stochastic mechanical metamaterials with tailored nonlinear mechanical properties. By leveraging sparse but high‐quality experimental data from in situ micro‐mechanical tests, high predictive accuracy and enable efficient inverse design are achieved.
Hanxun Jin   +7 more
wiley   +1 more source

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