Results 211 to 220 of about 1,480,230 (334)

Schottky Barrier Engineering in n‐Type Organic Source‐Gated Transistors Enabling High Conductance

open access: yesAdvanced Materials Technologies, EarlyView.
This study introduces a modified source electrode architecture for n‐type organic source‐gated transistors (OSGTs). By integrating Schottky and Ohmic contact regions, the design achieves a thinner depletion envelope, enhancing mobility nearly tenfold and reducing threshold voltage.
Yonghee Kim   +4 more
wiley   +1 more source

A nonvolatile magnon field effect transistor at room temperature. [PDF]

open access: yesNat Commun
Cheng J   +18 more
europepmc   +1 more source

Graphene‐Based Wearable Textile Triboelectric Nanogenerators and Biomechanical Sensors

open access: yesAdvanced Materials Technologies, EarlyView.
This study presents a wearable textile‐based triboelectric nanogenerator (T‐TENG) using sprayed graphene enhanced with a PVA adhesion layer. The graphene‐based electrode demonstrates high electrical conductivity and robustness to multiple bends. The fabricated T‐TENG provides stable and efficient output, with strong responsiveness to biomotion.
Hongyang Dang   +4 more
wiley   +1 more source

Low‐Temperature Processed Optoelectronic Synapses With Enhanced Responsivity for Edge‐Oriented In‐Sensor Reservoir Computing

open access: yesAdvanced Materials Technologies, EarlyView.
Image pixels are converted into optical pulse sequences to stimulate the optoelectronic synaptic device, generating dynamic responses that form high‐dimensional features. These features improve classification efficiency and demonstrate strong potential for neuromorphic edge computing systems.
Jo‐Lin Chen   +3 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