Results 121 to 130 of about 342,710 (307)
Microplastics from Wearable Bioelectronic Devices: Sources, Risks, and Sustainable Solutions
Bioelectronic devices (e.g., e‐skins) heavily rely on polymers that at the end of their life cycle will generate microplastics. For research, a holistic approach to viewing the full impact of such devices cannot be overlooked. The potential for devices as sources for microplastics is raised, with mitigation strategies surrounding polysaccharide and ...
Conor S. Boland
wiley +1 more source
"Features of Heavy Metal Pollution of Urban Areas with Special Environmental Risks" [PDF]
Lisetskii N. Fedor
openalex +1 more source
Biofilm establishment and heavy metal removal capacity of an indigenous mining algal-microbial consortium in a photo-rotating biological contactor [PDF]
Sanaz Orandi +2 more
openalex +1 more source
Spectrally Tunable 2D Material‐Based Infrared Photodetectors for Intelligent Optoelectronics
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
Heavy Metal: Earth’s Minerals and the Future of Sustainable Societies brings together world-leading experts from across the globe to reimagine the future of mineral exploration and mining in a post-fossil fuel world. Minerals and metals – for batteries, circuit boards, wiring and other components – are essential to a digital, carbon-neutral ...
openaire +2 more sources
Purcell‐Enhanced Spectrally Precise Emission in Dual‐Microcavity Organic Light‐Emitting Diodes
Spectrally precise emission from broadband organic light‐emitting diodes is realized via a dual‐microcavity strategy. This architecture achieves narrowband emission (full width at half maximum, FWHM = 21 nm) with ultrapure color approaching BT.2020 by enhancing the Purcell effect via coupling of excitons with dual‐microcavity resonance.
Jun Yong Kim +3 more
wiley +1 more source
Analysis of heavy metal contamination in surface sediments of Iskenderun Bay, Turkey [PDF]
Banu Kutlu +2 more
openalex +1 more source
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

