Advanced Electronic Materials, EarlyView.A lead‐free perovskite memristive solar cell structure that call emulate both synaptic and neuronal functions controlled by light and electric fields depending on top electrode type. ABSTRACT Memristive devices based on halide perovskites hold strong promise to provide energy‐efficient systems for the Internet of Things (IoT); however, lead (Pb ...
Michalis Loizos +4 more
wiley +1 more source
Magnetic hysteresis experiments performed on quantum annealers. [PDF]
Sci AdvPelofske E +3 more
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Low‐Power Control Of Resistance Switching Transitions in First‐Order Memristors
Advanced Electronic Materials, EarlyView.Joule losses are a serious concern in modern integrated circuit design. In this regard, minimizing the energy necessary for programming memristors should be handled with care. This manuscript presents an optimal control framework, allowing to derive energy‐efficient programming voltage protocols for resistance switching devices. Following this approach,
Valeriy A. Slipko +3 more
wiley +1 more source
Reproducible testing for embedded BCIs: a demultiplexing PCB and acquisition system for EEG signal emulation. [PDF]
HardwareXEnériz D +3 more
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Exceptional Antimodes in Multi‐Drive Cavity Magnonics
Advanced 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
Innovative approach of nonlinear controllers design for prosthetic knee performance. [PDF]
Front NeurorobotRehman A, Ghias R, Sherazi HI, Sultan N.
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Model‐Based Time‐Modulated Write Algorithm for 1R Analog Memristive Crossbar Arrays
Advanced 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
A DR-<i>ℓ</i><sub>1</sub>-PRLS Approach to Adaptive Equalization in Single-Carrier UWA Communication. [PDF]
Sensors (Basel)Chen XC, Dai GQ, Shi Y, Wu FY.
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Emerging Memory and Device Technologies for Hardware‐Accelerated Model Training and Inference
Advanced 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
Reinforcement learning-based control co-design of digital twin-enabled full-vehicle active suspension systems. [PDF]
Struct Multidiscipl OptimTsai YK, Chen YP, Karkaria V, Chen W.
europepmc +1 more source