Results 131 to 140 of about 286,668 (294)

Large Depth‐of‐Field, Large Eyebox, and Wide Field‐of‐View Freeform‐Holographic Augmented Reality Near‐Eye Display

open access: yesAdvanced Science, EarlyView.
This study proposes an augmented reality (AR) near‐eye display system that simultaneously achieves a large depth‐of‐field (DOF) from 0.25 to 10 m, a wide 50° field‐of‐view (FOV), and a 10 mm × 10 mm viewing eyebox, while maintaining high display performance, good optical see‐through viewing capability, and a compact system form factor.
Yongdong Wang   +4 more
wiley   +1 more source

Hyperspectral Fluorescence Imaging with a New Polarity‐Ultrasensitive Fluorescent Probe

open access: yesAdvanced Science, EarlyView.
Based on the critical role of the π‐spacer in determining wavelength sensitivity to microenvironmental polarity, a new fluorescent probe, Lipi‐PS is rationally developed, which exhibits the highest polarity‐sensitivity so far. Its integration with hyperspectral fluorescence imaging enables multiscale polarity mapping across cells, tissues, and ...
Ri Zhou   +7 more
wiley   +1 more source

Luminescent Platform for Thermal Sensing and Imaging Based on Structural Phase‐Transition

open access: yesAdvanced Science, EarlyView.
This study demonstrates the feasibility of employing a Eu3+‐doped, phase transition‐based ratiometric luminescent thermometer for thermal imaging application. Abstract The luminescent properties of Eu3+ ions are highly sensitive to changes in their local crystal environment.
Anam Javaid   +6 more
wiley   +1 more source

High‐Speed Design of Multiplexed Meta‐Optics Enabled by Physics‐Driven Self‐Supervised Network

open access: yesAdvanced Science, EarlyView.
A physics‐driven self‐supervised network (PDSS‐Net) is proposed for high‐speed, iteration‐free design of multiplexed meta‐optics. By learning a direct mapping from holographic targets to all meta‐atom structures, PDSS‐Net achieves a 1000× speedup over traditional optimization methods in designing 2K RGB meta‐holograms.
Yuqing He   +7 more
wiley   +1 more source

Stereo Vision for Plant Detection in Dense Scenes

open access: yesSensors
Automated precision weed control requires visual methods to discriminate between crops and weeds. State-of-the-art plant detection methods fail to reliably detect weeds, especially in dense and occluded scenes.
Thijs Ruigrok   +2 more
doaj   +1 more source

Deep Blue Fluorescent OLEDs Based on a Solution and Solid‐State Emitter (SSSE): Investigations with 2‐Phenyl‐Naphthoxazole

open access: yesAdvanced Electronic Materials, EarlyView.
The blue fluorescent molecule 2‐phenyl‐naphth[2,3‐d]oxazole (Nzx) exhibits strong emission in both solution and solid states. Such behavior, referred to as solution and solid‐state emission (SSSE), makes Nzx a promising candidate for optoelectronic applications. This study highlights the potential of Nzx for the development of stable and efficient near
Houssein El Housseiny   +5 more
wiley   +1 more source

Sidewall Suppression and Top Surface Enhancement of Light Extraction Efficiency in Vertically Stacked Full‐Color Micro‐LEDs Based on L‐Shaped Metal Walls

open access: yesAdvanced Electronic Materials, EarlyView.
This study introduces an L‐shaped metal wall structure in vertically stacked full ‐ color Micro light ‐ emitting diodes to suppress sidewall emission and enhance top light extraction efficiency. Through parameter optimization and ray‐tracing simulations, sidewall emission reduced by up to 68.04%, while top LEE improved by 196.18% (blue) and 51.69 ...
Huachang Guo   +9 more
wiley   +1 more source

Estimation of Garden Chrysanthemum Crown Diameter Using Unmanned Aerial Vehicle (UAV)-Based RGB Imagery

open access: yesAgronomy
Crown diameter is one of the crucial indicators for evaluating the adaptability, growth quality, and ornamental value of garden chrysanthemums. To accurately obtain crown diameter, this study employed an unmanned aerial vehicle (UAV) equipped with a RGB ...
Jiuyuan Zhang   +9 more
doaj   +1 more source

Integrating Automated Electrochemistry and High‐Throughput Characterization with Machine Learning to Explore Si─Ge─Sn Thin‐Film Lithium Battery Anodes

open access: yesAdvanced Energy Materials, Volume 15, Issue 11, March 18, 2025.
A closed‐loop, data‐driven approach facilitates the exploration of high‐performance Si─Ge─Sn alloys as promising fast‐charging battery anodes. Autonomous electrochemical experimentation using a scanning droplet cell is combined with real‐time optimization to efficiently navigate composition space.
Alexey Sanin   +7 more
wiley   +1 more source

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