Results 51 to 60 of about 136 (136)

Assessing Proton Radiation Hardness of Antimony Chalcogenide Solar Cells

open access: yesSolar RRL, EarlyView.
This paper discusses the effect of proton radiation on the device performance of antimony chalcogenide solar cells. Sb2S3 and Sb2(S, Se)3 solar cells are exposed to two different proton energies (100 and 300 keV) with fluences ranging from 1011 to 1014 protons/cm2.
Alisha Adhikari   +10 more
wiley   +1 more source

Strategic Spatial Segregation in Silicon Photoelectrodes: Decoupling Catalytic and Optical Functions for High‐Efficiency Solar Water Splitting

open access: yesSmall Structures, Volume 6, Issue 5, May 2025.
A novel spatial segregation strategy for silicon photoelectrodes is demonstrated, where catalyst wires surrounded by tapered microwires effectively decouple competing optical and catalytic requirements. This architectural innovation enables optimal light absorption and catalytic activity while maintaining efficient charge transport, achieving 96.5 ...
Soohyeok Park   +9 more
wiley   +1 more source

Typifications in the tribe Browallieae (Cestroideae: Solanaceae)

open access: yesTAXON, EarlyView.
Abstract The tribe Browallieae is a monophyletic group comprising Browallia and Streptosolen. These genera are of significant interest in the horticulture industry due to their ornamental potential. Despite their clear placement in Solanaceae, the tribe presents several taxonomic, phylogenetic, and nomenclatural challenges.
David Hoyos, Sandra Knapp, Rocío Deanna
wiley   +1 more source

Kвантитативно одредување на калпротектин во аÑцит кај пациенти Ñо Ñпонтан бактериÑки перитонитиÑ

open access: diamond, 2020
Фана Личоска-Јосифовиќ   +7 more
openalex   +2 more sources

Image and video analysis using graph neural network for Internet of Medical Things and computer vision applications

open access: yesCAAI Transactions on Intelligence Technology, EarlyView.
Abstract Graph neural networks (GNNs) have revolutionised the processing of information by facilitating the transmission of messages between graph nodes. Graph neural networks operate on graph‐structured data, which makes them suitable for a wide variety of computer vision problems, such as link prediction, node classification, and graph classification.
Amit Sharma   +4 more
wiley   +1 more source

Home - About - Disclaimer - Privacy