Results 221 to 230 of about 11,745 (281)

Exceptional Antimodes in Multi‐Drive Cavity Magnonics

open access: yesAdvanced Electronic Materials, EarlyView.
Driven‐dissipative cavity‐magnonics provides a flexible platform for engineering non‐Hermitian physics such as exceptional points. Here, using a four‐port, three‐mode system with controllable microwave interference, antimodes and coherent perfect extinction (CPE) are realized, enabling active tuning to antimode exceptional points.
Mawgan A. Smith   +4 more
wiley   +1 more source

High‐Density and Scalable Graphene Hall Sensor Arrays Through Monolithic CMOS Integration

open access: yesAdvanced Electronic Materials, EarlyView.
This work explores strategies to create high‐density arrays of graphene Hall‐effect magnetic field sensors through monolithic integration with silicon CMOS biasing and multiplexing circuitry. High sensor yield and magnetic sensing performance are achieved through careful choices in the custom CMOS chip design and the graphene integration process.
Vasant Iyer   +4 more
wiley   +1 more source

The Location of Deponency [PDF]

open access: yes, 2006
Baerman, Matthew
core  

Model‐Based Time‐Modulated Write Algorithm for 1R Analog Memristive Crossbar Arrays

open access: yesAdvanced Electronic Materials, EarlyView.
A novel model‐based time‐modulated write algorithm efficiently programs analog 1R memristive crossbar arrays by varying pulse duration at a fixed voltage. By leveraging a physics‐based compact model and a dynamic gain mechanism, this approach overcomes device nonlinearities and parasitic effects.
Richard Schroedter   +7 more
wiley   +1 more source

Aging and Electrical Stability of DNTT Honey‐Gated OFETs

open access: yesAdvanced Electronic Materials, EarlyView.
DNTT honey‐gated organic transistors were fabricated and evaluated to assess short‐ and long‐term stability under electrical stress and aging. Short‐term transfer measurements (five days, 40 sweeps/day) showed minimal parameter shift, while extended measurements revealed gradual degradation over weeks.
Douglas H. Vieira   +8 more
wiley   +1 more source

Emerging Memory and Device Technologies for Hardware‐Accelerated Model Training and Inference

open access: yesAdvanced Electronic Materials, EarlyView.
This review investigates the suitability of various emerging memory technologies as compute‐in‐memory hardware for artificial intelligence (AI) applications. Distinct requirements for training‐ and inference‐centric computing are discussed, spanning device physics, materials, and system integration.
Yoonho Cho   +6 more
wiley   +1 more source

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