Results 171 to 180 of about 2,264 (261)

Efficient In‐Hardware Matrix–Vector Multiplication and Addition Exploiting Bilinearity of Schottky Barrier Transistors Processed on Industrial FDSOI

open access: yesAdvanced Electronic Materials, EarlyView.
ABSTRACT Machine learning and Artificial Intelligence (AI) tasks have stretched traditional hardware to its limits. In‐hardware computation is a novel approach that aims to run complex operations, such as matrix–vector multiplication, directly at the device level for increased efficiency.
Juan P. Martinez   +10 more
wiley   +1 more source

Physics Informed Generative Surrogate Learning for Full Wave Validated Real Time Beamforming in Programmable Metasurfaces

open access: yesAdvanced Electronic Materials, EarlyView.
A physics‐guided generative surrogate framework is developed for programmable metasurface beamforming. Mode‐conditioned binary state generation, aperture‐physics prediction, routed residual correction, NSGA‐II optimization, and CST validation are combined to support fast candidate screening and full‐wave beam refinement across single‐beam, dual‐beam ...
Wenqian Liu   +4 more
wiley   +1 more source

AI-driven robotics for optics. [PDF]

open access: yesSci Adv
Uddin SZ   +7 more
europepmc   +1 more source

Artificial Intelligence for Fluorite Ferroelectric Materials: From Discovery to Optimization

open access: yesAdvanced Electronic Materials, EarlyView.
Artificial intelligence accelerates the discovery and optimization of HfO2‐based fluorite ferroelectrics by linking synthesis, structure, properties, and device performance. Machine learning, deep‐learning analysis, and AI‐driven atomistic modeling enable predictive design, dopant screening, and closed‐loop optimization toward next‐generation ...
Faizan Ali   +3 more
wiley   +1 more source

Three-dimensional reconfigurable magnetic microswarms with boundary-transcending capabilities. [PDF]

open access: yesSci Adv
Zhang P   +20 more
europepmc   +1 more source

Modular Reconfigurable Robots

open access: yesModular Reconfigurable Robots
identifier:oai:t2r2.star.titech.ac.jp ...
openaire   +1 more source

Wetting‐Driven Transfer of Flexible Ultra‐Thin Temperature Sensors

open access: yesAdvanced Electronic Materials, EarlyView.
A wetting‐driven transfer approach enables ultra‐thin temperature sensors to be transferred from a super‐hydrophilic donor substrate onto rigid, curved, and biological receiver substrates. By combining controlled wetting with a conformal Parylene carrier layer, the method preserves stable thermal sensing performance while expanding the integration of ...
Hafiza Faiqa Maqsood   +5 more
wiley   +1 more source

Controllable Superconductivity in Suspended NbSe2

open access: yesAdvanced Electronic Materials, EarlyView.
Suspended NbSe2${\rm NbSe}_2$ provides two complementary routes for controlling superconducting transport. Gate‐driven deformation strains the suspended crystal and tunes its critical temperature and current. Weak thermal anchoring enhances thermal feedback, contributing to multistep hysteresis and negative differential resistance.
Ruihuan Fang   +14 more
wiley   +1 more source

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