Results 131 to 140 of about 13,079 (259)

Experimental Demonstration of Temporally Aware Fault‐Tolerant Sensor Fusion Using Memristive Associative Learning

open access: yesAdvanced Electronic Materials, EarlyView.
In dynamic driving scenarios, the proposed approach ensures only temporally aligned sensor inputs to make driving decisions, preventing false activations. By enabling selective hardware‐level learning, it achieves fast, reliable responses under noisy conditions.
Kapil Bhardwaj   +4 more
wiley   +1 more source

Ultrastable Self‐Cross‐linkable Electro‐Optic Materials Based on a Bisanthracene Scaffold

open access: yesAdvanced Electronic Materials, EarlyView.
A novel bisanthracene‐based self‐cross‐linkable electro‐optic chromophore (TD2) is developed. TD2 exhibits a high r33 of 141 pm/V and a cross‐linked Tg up to 195 °C, retaining 99.75% of its initial EO response after 500 h at 85 °C, showing record‐high thermal stability for single‐molecule self‐cross‐linking EO materials.
Xingtao Wang   +6 more
wiley   +1 more source

Green‐Synthesized Bi‐Doped PEI N‐GQDs Enabling Long‐Term Stable Silicon Heterojunction Photodetectors

open access: yesAdvanced Electronic Materials, EarlyView.
Green‐engineered BiNPs&PEI N‐GQDs enable dual‐emission p‐Si Schottky photodetectors with strong photoresponse, long‐term stability, and a simple scalable fabrication strategy, offering a promising route for sustainable optoelectronic and photosensing applications.
Zeynep Berktaş   +6 more
wiley   +1 more source

Nano‐Heterostructured TiO2‐TiO‐TiN/MoO3‐x‐Mo2N Composite LIB Anode With Enhanced Li+ Storage via Glycine‐assisted Anodization and Cathodic Deposition

open access: yesAdvanced Energy Materials, EarlyView.
A scalable, binder‐ and additive‐free strategy combining glycine‐assisted anodization and cathodic deposition is developed to fabricate a nano‐heterostructured composite LIB anode directly on titanium. Benefiting from its fully electrochemically active thick architecture, the anode delivers an outstanding areal capacity of 2639 µAh cm−2, nearly ...
Peng Wang   +15 more
wiley   +1 more source

Population balance modeling and digital design of degree of agglomeration in industrial crystallization

open access: yesAIChE Journal, EarlyView.
Abstract This study presents a coupled population balance model (PBM) for describing the degree‐of‐agglomeration (DoA) in crystallization by independently tracking total particle and agglomerate number densities. Applied to an industrial active pharmaceutical ingredient, the model outperformed bridge‐counting methods and accurately captured DoA trends ...
Yung‐Shun Kang   +6 more
wiley   +1 more source

Smart Flexible Tactile Sensors: Recent Progress in Device Designs, Intelligent Algorithms, and Multidisciplinary Applications

open access: yesAdvanced Intelligent Discovery, EarlyView.
Flexible tactile sensors have considerable potential for broad application in healthcare monitoring, human–machine interfaces, and bioinspired robotics. This review explores recent progress in device design, performance optimization, and intelligent applications. It highlights how AI algorithms enhance environmental adaptability and perception accuracy
Siyuan Wang   +3 more
wiley   +1 more source

Design, Control, and Clinical Applications of Magnetic Actuation Systems: Challenges and Opportunities

open access: yesAdvanced Intelligent Systems, Volume 7, Issue 3, March 2025.
This review aims to provide a broad understanding for interdisciplinary researchers in engineering and clinical applications. It addresses the development and control of magnetic actuation systems (MASs) in clinical surgeries and their revolutionary effects in multiple clinical applications.
Yingxin Huo   +3 more
wiley   +1 more source

Resource‐Aware Contrastive Scattering Meta‐Learning for Efficient Few‐Shot Acoustic Anomaly Detection

open access: yesAdvanced Intelligent Systems, EarlyView.
This paper introduces a resource‐aware Contrastive Scattering Meta‐Learning (CSML) framework for acoustic anomaly detection. By leveraging training‐free wavelet scattering and metric‐based meta‐learning, the model achieves competitive performance with only 50 K learnable parameters—a 98% reduction compared to state‐of‐the‐art frameworks—enabling ...
Rami Zewail, Bassem Mokhtar
wiley   +1 more source

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