Results 181 to 190 of about 46,170 (294)

Galinstan Liquid Metal/Polyurethane Composite as a Multifunctional Stretchable Electrode and Piezoresistive Strain Sensor With Minimal Drift

open access: yesAdvanced Materials Technologies, EarlyView.
Liquid metal additives are processed in elastomer host resulting in highly conductive and stretchable composites. The material functions as a piezoresistive sensor with minimal drift, low stiffness, and enhanced operating range. The film can replace wires to charge a mobile phone at ∼350% strain and monitors bodily motion in real‐time via a portable ...
Patryk Wojciak   +3 more
wiley   +1 more source

3D‐Printed Dynamic Heart Model With Left‐Side Anatomy and Integrated Sensor for Edge‐to‐Edge Repair and Regurgitation Reduction

open access: yesAdvanced Materials Technologies, EarlyView.
This work presents a fully synthetic, 3D‐printed dynamic heart model with left‐side anatomy featuring sutured mitral valve chordae tendineae analogs, embedded actuators for physiologic wall contraction, and customized flexible pressure sensors for the left ventricle.
Alejandro Guillen Obando   +7 more
wiley   +1 more source

Deep learning for opportunistic, end-to-end automated assessment of epicardial adipose tissue in pre-interventional, ECG-gated spiral computed tomography. [PDF]

open access: yesInsights Imaging
Theis M   +8 more
europepmc   +1 more source

Wet Ball Milling Synthesis of Iron Oxide Nanoparticles for High‐Efficiency, Controllable Magnetic Hyperthermia in Ovarian Cancer

open access: yesAdvanced Materials Technologies, EarlyView.
A wet ball‐milling method is presented to synthesize iron magnetic nanoparticles and evaluate their magnetic hyperthermia performance. Optimized particles (∼270 nm, Ms ∼114 emu/g) achieve ∼50°C heating under clinically safe alternating magnetic fields, while pulsed‐field operation enables controlled temperature regulation (∼30°C).
Shahriar Mostufa   +10 more
wiley   +1 more source

Bidirectional Process Prediction in the Laser‐Induced‐Graphene Production Using Blackbox Deep Learning

open access: yesAdvanced Materials Technologies, EarlyView.
This study shows that a lightweight blackbox neural network provides a practical, cost‐effective solution for bidirectional process prediction in laser‐induced graphene (LIG) fabrication. Achieving high predictive performance with minimal overhead, the approach democratizes machine learning (ML) for resource‐limited environments.
Maxim Polomoshnov   +3 more
wiley   +1 more source

Home - About - Disclaimer - Privacy