Results 101 to 110 of about 552,282 (301)
Advanced Healthcare Materials, EarlyView.Membrane fusion‐inspired nanomaterials offer transformative potential in diagnostics by mimicking natural fusion processes to achieve highly sensitive and specific detection of disease biomarkers. This review highlights recent advancements in nanomaterial functionalization strategies, signal amplification systems, and stimuli‐responsive fusion designs,
Sojeong Lee +9 more
wiley +1 more source
Cottonseed‐Derived Reusable Bio‐Carbon Gel Ink for DIW Printing Soft Electronic Textiles
Advanced Materials, EarlyView.A reusable carbon‐gel ink, incorporating cottonseed peptone as a natural mediator, enables cross‐linked ionic polymer networks for advanced conductivity, stability, and biocompatibility. Compatible with direct‐ink‐writing, it facilitates flexible electronics on polymeric and textile substrates for multifunctional applications, including motion sensing,
King Yan Chung +7 more
wiley +1 more source
Powerset Convolutional Neural Networks
, 2019 We present a novel class of convolutional neural networks (CNNs) for set functions, i.e., data indexed with the powerset of a finite set. The convolutions are derived as linear, shift-equivariant functions for various notions of shifts on set functions.
Wendler, Chris +2 more
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Photonic Nanomaterials for Wearable Health Solutions
Advanced Materials, EarlyView.This review discusses the fundamentals and applications of photonic nanomaterials in wearable health technologies. It covers light‐matter interactions, synthesis, and functionalization strategies, device assembly, and sensing capabilities. Applications include skin patches and contact lenses for diagnostics and therapy. Future perspectives emphasize AI‐
Taewoong Park +3 more
wiley +1 more source
Frequency-Domain and Spatial-Domain MLMVN-Based Convolutional Neural Networks
AlgorithmsThis paper presents a detailed analysis of a convolutional neural network based on multi-valued neurons (CNNMVN) and a fully connected multilayer neural network based on multi-valued neurons (MLMVN), employed here as a convolutional neural network in the
Igor Aizenberg, Alexander Vasko
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Optical frontend for a convolutional neural network
Applied Optics, 2019 The parallelism of optics and the miniaturization of optical components using nanophotonic structures, such as metasurfaces present a compelling alternative to electronic implementations of convolutional neural networks. The lack of a low-power optical nonlinearity, however, requires slow and energy-inefficient conversions between the electronic and ...
Shane Colburn +3 more
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Challenges and Opportunities of Upconversion Nanoparticles for Emerging NIR Optoelectronic Devices
Advanced Materials, EarlyView.The special photo‐responsiveness of upconversion nanoparticles has opened up a new path for the advancement of near‐infrared (NIR)‐responsive optoelectronics. However, challenges such as low energy‐conversion efficiency and high nonradiative losses still persist.
Sunyingyue Geng +7 more
wiley +1 more source
Advanced Materials, EarlyView.A ferroelectric‐gated phototransistor (FGPT) enables linear and multilevel modulation of photoconductance through partial polarization switching and photogating effects. The device achieves photonic non‐volatility over a 153 dB dynamic range and performs in‐sensor processing under unstructured illumination, demonstrating enhanced face recognition ...
Yubin Lee +13 more
wiley +1 more source
Ferroelectric Quantum Dots for Retinomorphic In‐Sensor Computing
Advanced Materials, EarlyView.This work has provided a protocol for fabricating retinomorphic phototransistors by integrating ferroelectric ligands with quantum dots. The resulting device combines ferroelectricity, optical responsiveness, and low‐power operation to enable adaptive signal amplification and high recognition accuracy under low‐light conditions, while supporting ...
Tingyu Long +26 more
wiley +1 more source
Object Detection and Feature Base Learning with Sparse Convolutional Neural Networks [PDF]
, 2006 Alexander Gepperth
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