Results 231 to 240 of about 8,812,141 (324)

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

Correction: Extended LUTS medication use following BPH surgical treatment: a US healthcare claims analysis. [PDF]

open access: yesProstate Cancer Prostatic Dis
Kaplan S   +4 more
europepmc   +1 more source

Integrative Approaches for DNA Sequence‐Controlled Functional Materials

open access: yesAdvanced Functional Materials, EarlyView.
DNA is emerging as a programmable building block for functional materials with applications in biomimicry, biochemical, and mechanical information processing. The integration of simulations, experiments, and machine learning is explored as a means to bridge DNA sequences with macroscopic material properties, highlighting current advances and providing ...
Aaron Gadzekpo   +4 more
wiley   +1 more source

Intrinsically Soft Printed Electronics for Digitally Augmented Human Sensing and Vision

open access: yesAdvanced Functional Materials, EarlyView.
This work introduces a class of highly functional, multilayer flexible and stretchable circuits capable of digitally augmenting human sensing and vision. Studies in multi‐material soft composite inks yielded a formulation that enables overpass printing, self‐healing, and high‐resolution functionality.
Nathan Zavanelli   +7 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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