ArticleNanoscale advances2022
Facile and stable fabrication of wafer-scale, ultra-black
Article in Nanoscale advances, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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Who cites it
1 citing paper in PubMed.
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Three-dimensional (3D) silicon (Si) nanostructures have attracted much attention in solar cells due to their excellent broadband and omnidirectional light-harvesting properties. However, the development of 3D Si nanostructures is still plagued by the trade-off between structural complexity and fabrication difficulty. Herein, we proposed a facile and stable approach toward the fabrication of wafer-scale, ultra-black crystalline silicon (c-Si) with nano/micro hybrid structures. The distinguishing advantage of this approach is that it allows the formation of 3D Si nano/micro hybrid structures in a single-round process, avoiding the need for multiple iterations of lithography, coating, and etching required in conventional processes. The nano/micro hybrid structure arrays we fabricated show a low reflectance of <1% in the 600-1000 nm wavelength range and absorb 98.82% of incident light in the visible and near-infrared regions from 400 to 1100 nm under AM 1.5 G illumination. Solar cells made from nano/micro hybrid 3D structure arrays have an efficiency improvement of about 11.4% compared to those made from mono-micropillar arrays, and they have potential applications in high-performance photovoltaic devices.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.