Details
| Original language | English |
|---|---|
| Title of host publication | Machine Learning in Photonics |
| Editors | Francesco Ferranti, Mehdi Keshavarz Hedayati, Andrea Fratalocchi |
| Publisher | SPIE |
| Number of pages | 3 |
| ISBN (electronic) | 9781510673526 |
| Publication status | Published - 18 Jun 2024 |
| Event | Machine Learning in Photonics 2024 - Strasbourg, France Duration: 8 Apr 2024 → 12 Apr 2024 |
Publication series
| Name | Proceedings of SPIE - The International Society for Optical Engineering |
|---|---|
| Volume | 13017 |
| ISSN (Print) | 0277-786X |
| ISSN (electronic) | 1996-756X |
Abstract
The adjoint method is an efficient technique for the topology optimization of complex nanophotonic systems, including nanostructures, metasurfaces and integrated optical circuits. While such method has been traditionally used in the frequency domain, its extension to the time domain opens new opportunities for wideband optimization of dispersive materials for applications ranging from broadband absorbers to enhanced quantum emitters in dispersive environments. We propose a topology optimization technique for the inverse design of linear optical materials with arbitrary dispersion and anisotropy. We introduce a general adjoint scheme in the time-domain based on the complex-conjugate pole-residue pair (CCPR) model. This approach has the advantage of treating dispersive media and broadband response naturally in a single simulation run. We implement this framework within the finite-difference time-domain (FDTD) method and investigate the method for optimizing metallic and dielectric nanoantennas over the optical spectral range of 350-1000 nm. The combination of the method with parallel computing enables the large-scale inverse design of nanostructures in 3D with extreme field confinement. Nanostructures found via inverse design and featuring the intriguing anapole effect are also discussed. This effect enables nanostructures that show field enhancement, negligible scattering, and low losses. The possibility of reducing losses in plasmonic nanostructures via inverse design is an interesting possibility offered by the method and may open new avenues towards the realization of transparent plasmonic metamaterials for applications in linear and nonlinear nanophotonics.
Keywords
- adjoint method, anapole, FDTD method, inverse design, optical dispersion, plasmonics, time domain, topology optimization
ASJC Scopus subject areas
- Materials Science(all)
- Electronic, Optical and Magnetic Materials
- Physics and Astronomy(all)
- Condensed Matter Physics
- Computer Science(all)
- Computer Science Applications
- Mathematics(all)
- Applied Mathematics
- Engineering(all)
- Electrical and Electronic Engineering
Cite this
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- Apa
- Vancouver
- BibTeX
- RIS
Machine Learning in Photonics. ed. / Francesco Ferranti; Mehdi Keshavarz Hedayati; Andrea Fratalocchi. SPIE, 2024. 130170G (Proceedings of SPIE - The International Society for Optical Engineering; Vol. 13017).
Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review
}
TY - GEN
T1 - Time-domain topology optimization for dispersive and broadband inverse design in nanophotonics
AU - Gedeon, Johannes
AU - Hassan, Emadeldeen
AU - Evlyukhin, Andrey B.
AU - Lesina, Antonio Calà
N1 - Publisher Copyright: © 2024 SPIE.
PY - 2024/6/18
Y1 - 2024/6/18
N2 - The adjoint method is an efficient technique for the topology optimization of complex nanophotonic systems, including nanostructures, metasurfaces and integrated optical circuits. While such method has been traditionally used in the frequency domain, its extension to the time domain opens new opportunities for wideband optimization of dispersive materials for applications ranging from broadband absorbers to enhanced quantum emitters in dispersive environments. We propose a topology optimization technique for the inverse design of linear optical materials with arbitrary dispersion and anisotropy. We introduce a general adjoint scheme in the time-domain based on the complex-conjugate pole-residue pair (CCPR) model. This approach has the advantage of treating dispersive media and broadband response naturally in a single simulation run. We implement this framework within the finite-difference time-domain (FDTD) method and investigate the method for optimizing metallic and dielectric nanoantennas over the optical spectral range of 350-1000 nm. The combination of the method with parallel computing enables the large-scale inverse design of nanostructures in 3D with extreme field confinement. Nanostructures found via inverse design and featuring the intriguing anapole effect are also discussed. This effect enables nanostructures that show field enhancement, negligible scattering, and low losses. The possibility of reducing losses in plasmonic nanostructures via inverse design is an interesting possibility offered by the method and may open new avenues towards the realization of transparent plasmonic metamaterials for applications in linear and nonlinear nanophotonics.
AB - The adjoint method is an efficient technique for the topology optimization of complex nanophotonic systems, including nanostructures, metasurfaces and integrated optical circuits. While such method has been traditionally used in the frequency domain, its extension to the time domain opens new opportunities for wideband optimization of dispersive materials for applications ranging from broadband absorbers to enhanced quantum emitters in dispersive environments. We propose a topology optimization technique for the inverse design of linear optical materials with arbitrary dispersion and anisotropy. We introduce a general adjoint scheme in the time-domain based on the complex-conjugate pole-residue pair (CCPR) model. This approach has the advantage of treating dispersive media and broadband response naturally in a single simulation run. We implement this framework within the finite-difference time-domain (FDTD) method and investigate the method for optimizing metallic and dielectric nanoantennas over the optical spectral range of 350-1000 nm. The combination of the method with parallel computing enables the large-scale inverse design of nanostructures in 3D with extreme field confinement. Nanostructures found via inverse design and featuring the intriguing anapole effect are also discussed. This effect enables nanostructures that show field enhancement, negligible scattering, and low losses. The possibility of reducing losses in plasmonic nanostructures via inverse design is an interesting possibility offered by the method and may open new avenues towards the realization of transparent plasmonic metamaterials for applications in linear and nonlinear nanophotonics.
KW - adjoint method
KW - anapole
KW - FDTD method
KW - inverse design
KW - optical dispersion
KW - plasmonics
KW - time domain
KW - topology optimization
UR - http://www.scopus.com/inward/record.url?scp=85200209761&partnerID=8YFLogxK
U2 - 10.1117/12.3026073
DO - 10.1117/12.3026073
M3 - Conference contribution
AN - SCOPUS:85200209761
T3 - Proceedings of SPIE - The International Society for Optical Engineering
BT - Machine Learning in Photonics
A2 - Ferranti, Francesco
A2 - Hedayati, Mehdi Keshavarz
A2 - Fratalocchi, Andrea
PB - SPIE
T2 - Machine Learning in Photonics 2024
Y2 - 8 April 2024 through 12 April 2024
ER -