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Article . 2025
License: CC BY
Data sources: ZENODO
ZENODO
Article . 2025
License: CC BY
Data sources: Datacite
ZENODO
Article . 2025
License: CC BY
Data sources: Datacite
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HIGH-EFFICIENCY ELECTRICITY GENERATION USING NANOANTENNAS FOR SOLAR AND INFRARED RADIATION

Authors: Gofurov Bunyod Sherzod ogli, Ergashev Jakhongir Oblakulovich, Bobonov Doston Abdumumin ogli, Abdurahmonova Sadoqat Bakhtiyor qizi;

HIGH-EFFICIENCY ELECTRICITY GENERATION USING NANOANTENNAS FOR SOLAR AND INFRARED RADIATION

Abstract

Annotation: Nanoantennas provide a transformative approach to electricity generation by harnessing solar and infrared radiation across a wide electromagnetic spectrum, surpassing the capabilities of conventional photovoltaic systems. This study evaluates their performance through a detailed theoretical analysis and finite-difference time-domain Webhook (FDTD) simulations, focusing on graphene-based designs and broadband configurations. Results indicate an energy conversion efficiency of up to 42% under optimized conditions, a significant improvement over silicon-based cells. Challenges such as fabrication complexity and rectification losses are analyzed, with strategies proposed for scalable deployment. These findings highlight nanoantennas’ potential to advance renewable energy solutions. Keywords: Nanoantenna, solar energy, infrared radiation, energy harvesting, graphene, efficiency.

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    popularity
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    influence
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average