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Related Concept Videos

Photoluminescence: Applications01:14

Photoluminescence: Applications

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Photoluminescence offers a wide range of applications due to its inherent sensitivity and selectivity. This technique allows for both direct and indirect analyses of the analyte. Direct quantitative analysis is possible when the analyte exhibits a favorable quantum yield for fluorescence or phosphorescence. However, an indirect analysis may be feasible if the analyte is not fluorescent or phosphorescent, or if the quantum yield is unfavorable. Indirect methods include reacting the analyte with...
757

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Artificial intelligence for photonics and photonic materials.

Davide Piccinotti1, Kevin F MacDonald1, Simon A Gregory2

  • 1Optoelectronics Research Centre and Centre for Photonic Metamaterials, University of Southampton, Southampton, SO17 1BJ, United Kingdom.

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Artificial intelligence (AI) is revolutionizing scientific research. This review explores AI's impact and future potential in photonics, nanophotonics, plasmonics, and photonic materials discovery, including metamaterials.

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Area of Science:

  • Photonics, nanophotonics, plasmonics, and materials science.

Background:

  • Artificial intelligence (AI) represents a significant methodological advancement in scientific research.
  • AI is yielding impactful results across diverse scientific and technological domains.

Purpose of the Study:

  • To review current research on AI applications in photonics and related fields.
  • To discuss future opportunities for AI in nanophotonics, plasmonics, and photonic materials discovery, including metamaterials.

Main Methods:

  • Literature review of AI applications in photonics.
  • Analysis of AI's role in materials discovery.

Main Results:

  • AI is demonstrating significant utility in photonics research.
  • Emerging applications span nanophotonics, plasmonics, and the discovery of novel photonic materials.

Conclusions:

  • AI is a transformative tool for advancing photonics and materials science.
  • Continued integration of AI promises accelerated discovery and innovation in these fields.