Results 211 to 220 of about 3,140,349 (285)

A Dual‐Emissive DNA‐Templated Silver Nanocluster with Near‐Infrared I and II Emission

open access: yesAdvanced Optical Materials, Volume 13, Issue 8, March 13, 2025.
This study presents a dual‐emissive DNA‐stabilized silver nanocluster with a nanosecond‐lived NIR‐I emission band and a microsecond‐lived NIR‐II emission band. Mass spectrometry establishes that the nanocluster has molecular formula (DNA)2[Ag17]11+. DNA sequence variations reveal critical nucleobases for stabilization, and modifications at the DNA 5 ...
Anna Gonzàlez‐Rosell   +6 more
wiley   +1 more source

Application of PBL combined with mini-CEX evaluation model in the clinical teaching of urological clinic teaching. [PDF]

open access: yesBMC Med Educ
Chen X   +11 more
europepmc   +1 more source

Responsive Visible‐Wavelength Metasurfaces from Porous Silicon Based on Fano Guided‐Mode Resonance

open access: yesAdvanced Optical Materials, EarlyView.
The article introduces mesoporous silicon metasurfaces (pSi‐MS) supporting Fano guided‐mode resonances in the visible regime. By combining top‐down lithographic patterning of 2D gratings with bottom‐up electrochemical porosification, the approach realizes a new class of responsive metasurfaces, enabling highly sensitive and portable platforms for small
Tomoshree Dash   +4 more
wiley   +1 more source

Ultra‐Durable Information‐Encoded Anti‐Counterfeiting Self‐Assembled Nanocrystal Labels

open access: yesAdvanced Optical Materials, EarlyView.
Ultra‐durable cost‐effective information‐encoded anti‐counterfeiting labels are fabricated to secure semiconductor chips. A novel method is used to self‐assemble colloidal quantum wells (CQWs) into color bars. Information can be encoded spatially, spectrally, and opto‐spatially.
Taha Haddadifam   +6 more
wiley   +1 more source

Excitonic Landscapes in Monolayer Lateral Heterostructures Revealed by Unsupervised Machine Learning

open access: yesAdvanced Optical Materials, EarlyView.
Hyperspectral photoluminescence data from graded MoxW1 − xS2 alloys and monolayer MoS2–WS2 lateral heterostructures are analyzed using unsupervised machine learning. The combined use of PCA, t‐SNE, and DBSCAN uncovers distinct excitonic regions that trace how composition, strain, and defects modulate optical responses in these 2D materials.
Maninder Kaur   +4 more
wiley   +1 more source

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