Results 91 to 100 of about 2,424,657 (202)

Resonant Domain Wall Dynamics in a Three‐Dimensional Magnetic Nano Double Helix

open access: yesAdvanced Materials, EarlyView.
3D magnetic nanostructures promise exciting possibilities for magnetization dynamics. However, experimental realizations remain scarce. In nanoprinted cobalt double helices, time‐resolved X‐ray microscopy reveals harmonic domain wall dynamics. Simulations identify the mode and additional higher‐frequency resonances, revealing a rich dynamic landscape ...
Pamela Morales‐Fernández   +15 more
wiley   +1 more source

Phase Engineering of Nanomaterials (PEN): Evolution, Current Challenges, and Future Opportunities

open access: yesAdvanced Materials, EarlyView.
This review summarizes the synthesis, phase transition, advanced characterization spanning ex situ to in situ and operando techniques, and diverse applications of phase engineering of nanomaterials (PEN). It further outlines key challenges and future opportunities, such as phase stability, architecture control, and artificial intelligence (AI)‐driven ...
Ye Chen   +7 more
wiley   +1 more source

Degradable organic neuromorphic transistors: Emerging progress in optoelectronically co‐reconfigurable devices for sustainable electronics

open access: yesFlexMat
Degradable organic neuromorphic transistors, emerging as a promising platform for sustainable electronics, address the evolving demands of future artificial intelligence technologies.
Mingyi Ding, Deyang Ji, Wenping Hu
doaj   +1 more source

Optoelectronic Nanofluidic Neural Networks for Ionic Computing

open access: yesAdvanced Materials, EarlyView.
An ion‐based optoelectronic nanofluidic memristor enables neuromorphic computing in aqueous environments. With tunable ionic memory and multimodal synaptic plasticity, it realizes densely connected ionic neural networks capable of image classification, motion prediction, logic computation, and real‐time in‐sensor computing, advancing fully connected ...
Yaxin Huang   +10 more
wiley   +1 more source

Characterization of a Spiking Convolutional Processor for FPGA

open access: yesSensors
In event-based neuromorphic processing, computer vision finds an efficient alternative capable of optimizing computational and energy resources, inspired by the dynamics of biological neural systems. In the development of real-time processing systems, it
Dagnier A. Curra-Sosa   +2 more
doaj   +1 more source

Electrically Coded Retinomorphic Spectrophotodetector

open access: yesAdvanced Materials, EarlyView.
Self‐powered retinomorphic pyro‐photodetector is demonstrated that avoids machine‐learning post‐processing and covers 365–940 nm. Electrostatic balancing of built‐in potential produces an electrical wavelength code, delivering <3 nm wavelength decoding accuracy with ∼46 µs response.
Mohit Kumar, Hyunmin Dang, Hyungtak Seo
wiley   +1 more source

Charge‐Encoded Sidechains Enable Deterministic Ion Ingress and Memory Retention in Organic Electrochemical Synaptic Transistors

open access: yesAdvanced Materials, EarlyView.
Organic electrochemical synaptic transistors based on sidechain‐engineered conjugated polyelectrolytes reveal that cationic sidechains enable efficient volumetric ion penetration and dense backbone doping, leading to enhanced transconductance and long‐term synaptic retention.
Haim Kwon   +6 more
wiley   +1 more source

Metal Oxide Nano‐Interface Boosting the Deep Ultraviolet Adjustable Noise‐Filtering In‐Sensor Computing

open access: yesAdvanced Materials, EarlyView.
We show that sol‐gel‐fractured indium–magnesium oxide combines deep‐ultraviolet responsivity, high carrier mobility, and an excellent memory dynamic range. This unique materials platform enables deep‐ultraviolet long‐afterglow light‐emitting devices with multifunctional integration.
Zhongshi Ju   +9 more
wiley   +1 more source

High‐Endurance STO:YSZ Optoelectronic Memristors with Vertically Aligned Nanocomposite Structure for Edge Detection

open access: yesAdvanced Science
Edge detection plays a critical role in cutting‐edge domains such as real‐time monitoring and automatic driving, with optoelectronic device‐based real‐time image processing garnering significant attention. However, the poor endurance and unstable optical
Jiacheng Wang   +11 more
doaj   +1 more source

Noise‐Tunable Memristor Enabling Programmable Probabilistic Neurons for Frequency‐Selective Time‐Series Signal Encoding

open access: yesAdvanced Materials, EarlyView.
Memristors offer tunable resistance and intrinsic instability, making them promising tunable noise sources. We propose a spiking‐rate‐programmable probabilistic neuron using a Ru/TaOx/Pt memristor, where resistance‐dependent noise enables frequency‐selective encoding.
Do Hoon Kim   +8 more
wiley   +1 more source

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