Rahmani M, Leo G, Brener I, Zayats A V, Maier S A et al. Nonlinear frequency conversion in optical nanoantennas and metasurfaces: materials evolution and fabrication. Opto-Electronic Advances 1, 180021 (2018).
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Opto-Electronic Advances
ISSN: 2096-4579
CN: 51-1781/TN
Opto-Electronic Advances is the open-access journal providing rapid publication for peer-reviewed articles that emphasize scientific and technology innovations in all aspects of optics and opto-electronics.
CN: 51-1781/TN
Opto-Electronic Advances is the open-access journal providing rapid publication for peer-reviewed articles that emphasize scientific and technology innovations in all aspects of optics and opto-electronics.
2018 Vol. 1, No. 10
Cover Story： Rahmani M, Leo G, Brener I, Zayats A V, Maier S A et al. Nonlinear frequency conversion in optical nanoantennas and metasurfaces: materials evolution and fabrication. Opto-Electronic Advances 1, 180021 (2018).
The impact of NLO on science is widely understood nowadays, as it has enabled at least nine Nobel prizes in physics and chemistry. NLO has caused many developments in our daily life, with broad applications in laser-materials interactions, information technology, sensing, communications, data processing, etc. In this paper, the latest advances in obtaining efficient nonlinear signals from tailored nanostructures, whose thicknesses are typically a few-hundred times less than a human hair, are reviewed.
The impact of NLO on science is widely understood nowadays, as it has enabled at least nine Nobel prizes in physics and chemistry. NLO has caused many developments in our daily life, with broad applications in laser-materials interactions, information technology, sensing, communications, data processing, etc. In this paper, the latest advances in obtaining efficient nonlinear signals from tailored nanostructures, whose thicknesses are typically a few-hundred times less than a human hair, are reviewed.
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Online Time:Dec 11, 2018
Opto-Electronic Advances, Vol. 01, Issue 10, pp. 180024
Cite this article:
Xiang W D, Yang P, Wang S, Xu B, Liu H. Underwater image enhancement based on red channel weighted compensation and gamma correction model. Opto-Electronic Advances 1, 180024 (2018)
