Results 161 to 170 of about 80,765 (223)

Hierarchical Multi‐Material Architectures With Gradient Design for Dynamic‐Range Flexible Tactile Sensing

open access: yesAdvanced Materials Technologies, EarlyView.
Hierarchical multi‐material TPMS lattices are engineered as flexible tactile sensors by combining soft and stiff elastomeric layers with a conformal conductive coating. The bilayer architecture delivers sensitivity at low pressures while maintaining a broad detectable range under large loads, enabling reliable pressure and vibration monitoring for ...
Reza Noroozi   +3 more
wiley   +1 more source

Additive‐Manufactured, Multifunctional Bioreactor Technology for Dynamic Culture of 3D Bioprinted Tissue Models

open access: yesAdvanced Materials Technologies, EarlyView.
We introduce an additively manufactured bioreactor with a perfusion flow system and integrated temperature and pH sensors for skeletal muscle tissue biofabrication. The bioreactor's performance was evaluated by assessing the viability, spreading of the myoblast cells in a printed scaffold, and contraction of the isolated murine musculi interossei ...
Lys Sprenger   +9 more
wiley   +1 more source

Self‐Soldering, Stretchable and Self‐Healing Liquid Metal Elastomer Interconnections for Soft Electronics Platforms

open access: yesAdvanced Materials Technologies, EarlyView.
A self‐healing and electrically conductive liquid metal elastomer enables robust self‐soldering of surface mount devices for soft electronics. Photothermally activated conductive pathways, strong pressure‐sensitive adhesion, and stable package‐integrated contacts provide high conductivity and extreme stretchability.
Su Thiri San   +5 more
wiley   +1 more source

Coupling of Er3+ ions and Plasmonic Modes in Vertical Nanocavities for Spectral Broadening in Telecom Bands

open access: yesAdvanced Materials Technologies, EarlyView.
Left: Illustration of the glass & nanostructures system and the NIR emission at 1.5 µm, where the colored spheres represent the Er3+ ions within the doped glass. Right: Representation of the Stark splitting of the 4I13/2 and 4I15/2 manifolds of the Er3+, illustrating how the plasmonic modes facilitate the emission from the broader Stark manifold ...
Gaston Lozano Calderón   +5 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

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