Results 211 to 220 of about 785,707 (321)

Microsphere Autolithography—A Scalable Approach for Arbitrary Patterning of Dielectric Spheres

open access: yesAdvanced Functional Materials, EarlyView.
MicroSphere Autolithography (µSAL) enables scalable fabrication of patchy particles with customizable surface motifs. Focusing light through dielectric microspheres creates well defined, tunable patches via a conformal poly(dopamine) photoresist. Nearly arbitrary surface patterns can be achieved, with the resolution set by the index contrast between ...
Elliott D. Kunkel   +3 more
wiley   +1 more source

Highly Stable Ion‐Exchange Doping of Organic Semiconductor Single Crystals for Reliable Flexible Sensors

open access: yesAdvanced Functional Materials, EarlyView.
Stable ion‐exchange doping of organic semiconductor single crystals is demonstrated using bulky hydrophobic anions. Electrical conductivity is significantly enhanced and maintained under ambient air and elevated temperatures, while intrinsic strain sensitivity remains intact over 100 000 strain cycles. The approach highlights the critical role of anion
Tomohiro Murata   +5 more
wiley   +1 more source

4D Mapping of ZIF Biocomposites for High Protein Loading and Tunable Release Profiles

open access: yesAdvanced Functional Materials, EarlyView.
Systematic four‐dimensional mapping of zeolitic imidazolate framework biocomposites reveals how precursor ratios, total concentration, and washing define crystalline phase, protein loading, and release kinetics. This comprehensive study identifies conditions yielding record loading (∼85%) and precise phase–property correlations.
Michael R. Hafner   +12 more
wiley   +1 more source

Spectrally Tunable 2D Material‐Based Infrared Photodetectors for Intelligent Optoelectronics

open access: yesAdvanced Functional Materials, EarlyView.
Intelligent optoelectronics through spectral engineering of 2D material‐based infrared photodetectors. Abstract The evolution of intelligent optoelectronic systems is driven by artificial intelligence (AI). However, their practical realization hinges on the ability to dynamically capture and process optical signals across a broad infrared (IR) spectrum.
Junheon Ha   +18 more
wiley   +1 more source

Smarter Sensors Through Machine Learning: Historical Insights and Emerging Trends across Sensor Technologies

open access: yesAdvanced Functional Materials, EarlyView.
This review highlights how machine learning (ML) algorithms are employed to enhance sensor performance, focusing on gas and physical sensors such as haptic and strain devices. By addressing current bottlenecks and enabling simultaneous improvement of multiple metrics, these approaches pave the way toward next‐generation, real‐world sensor applications.
Kichul Lee   +17 more
wiley   +1 more source

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