AimAs our understanding of light's impact on human health grows, studies examining light exposure and related health outcomes in everyday settings are increasingly important, particularly in high‐risk groups like nightshift workers.MethodsIn this observati ...
Chalcogenide perovskites have emerged as a promising class of materials for the next generation of optoelectronic applications, with BaZrS3 attracting significant attention due to its wide bandgap, earth-abundant composition, and thermal and chemical stabi ...
JWST spectroscopy has discovered a population of z greater than or similar to 3.5 galaxies with broad Balmer emission lines and narrow forbidden lines that are consistent with hosting active galactic nuclei (AGN). Many of these systems, now known as "littl ...
This paper explores the design and optimization of all-dielectric metasurfaces, consisting of silicon meta-atoms on calcium fluoride (CaF2) and silicon nitride (Si3N4) substrates, to enhance infrared absorption. This optimization results in intense light-m ...
Institute of Electrical and Electronics Engineers Inc.2024
Double-negative refractive index materials have attracted sustained experimental and theoretical interest because they can display a range of surprising optical phenomena, including negative Doppler shifts and perfect lensing. Double-negative indexes have ...
Sensitive detection of shortwave infrared (SWIR) light using organic dyes will be a significant advance toward many applications in industry and research. Furthermore, from a fabrication and optimization view, photogeneration of charges in diodes consistin ...
Guiding and confining light at interfaces is crucial for applications involving light-matter interactions, such as surface spectroscopy, nonlinear optics, and quantum information technology. While dielectric surface waves offer promising perspectives for s ...
Simulating vibrationally resolved electronic spectra of anharmonic systems, especially those involving double-wellpotential energy surfaces, often requires expensive quantumdynamics methods. Here, we explore the applicability andlimitations of the recently ...
Segmentation of Prostate Cancer (PCa) tissues from Gleason graded histopathology images is vital for accurate diagnosis. Although deep learning (DL) based segmentation methods achieve state-of-the-art accuracy, they rely on large datasets with manual annot ...
