Results 131 to 140 of about 71,204 (254)

Enhanced Synthesis of Cs2AgBiBr6 Single Crystals via Controlled Cooling for Enhanced Dual‐Band Light Detection

open access: yesAdvanced Electronic Materials, EarlyView.
This work presents a dual‐band photodetector based on the large‐scale, precise synthesis of Cs2AgBiBr6 single crystals. A rapid and efficient synthesis method is demonstrated, yielding high‐quality Cs2AgBiBr6 crystals with an average size of 2 × 2 × 1.5 mm3 and a production yield of 12.66%.
Yezhan Li   +9 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

High-Precision Detection of Magnetic Nanoparticles in Microfluidic Biosensing Systems. [PDF]

open access: yesBiosensors (Basel)
Brown D   +5 more
europepmc   +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

From Data to Discovery: Machine Learning–Enabled Intelligent Characterization of Two‐Dimensional Materials

open access: yesAdvanced Intelligent Discovery, EarlyView.
Machine learning serves as a central engine for the intelligent characterization of two‐dimensional materials by integrating multimodal techniques, including optical microscopy, spectroscopy, electron microscopy, and scanning probe microscopy (SPM). This unified framework enables automated, high‐throughput, and quantitative extraction of structural ...
Zhi‐Long Cao, Jia‐Xu Yan
wiley   +1 more source

Machine Learning‐Based Estimation of Experimental Artifacts and Image Quality in Fluorescence Microscopy

open access: yesAdvanced Intelligent Systems, Volume 7, Issue 3, March 2025.
The use of image quality metrics in combination with machine learning enables automatic image quality assessment for fluorescence microscopy images. The method can be integrated into the experimental pipeline for optical microscopy and utilized to classify artifacts in experimental images and to build quality rankings with a reference‐free approach ...
Elena Corbetta, Thomas Bocklitz
wiley   +1 more source

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