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Trace formulation for photonic inverse design with incoherent sources
- Source :
- Yao, W, Verdugo, F, Christiansen, R E & Johnson, S G 2022, ' Trace formulation for photonic inverse design with incoherent sources ', Structural and Multidisciplinary Optimization, vol. 65, no. 11, 336 . https://doi.org/10.1007/s00158-022-03389-5
- Publication Year :
- 2022
-
Abstract
- Spatially incoherent light sources, such as spontaneously emitting atoms, naively require Maxwell's equations to be solved many times to obtain the total emission, which becomes computationally intractable in conjunction with large-scale optimization (inverse design). We present a trace formulation of incoherent emission that can be efficiently combined with inverse design, even for topology optimization over thousands of design degrees of freedom. Our formulation includes previous reciprocity-based approaches, limited to a few output channels (e.g. normal emission), as special cases, but generalizes to a continuum of emission directions by exploiting the low-rank structure of emission problems. We present several examples of incoherent-emission topology optimization, including tailoring the geometry of fluorescent particles, a periodically emitting surface, and a structure emitting into a waveguide mode, as well as discussing future applications to problems such as Raman sensing and cathodoluminescence.<br />Comment: 29pages, 3 figures
- Subjects :
- Incoherent emission
Control and Optimization
Inverse design
Astrophysics::High Energy Astrophysical Phenomena
FOS: Physical sciences
Computational Physics (physics.comp-ph)
Computer Graphics and Computer-Aided Design
Computer Science Applications
Control and Systems Engineering
Topology optimization
Physics - Computational Physics
Software
Physics - Optics
Optics (physics.optics)
Subjects
Details
- Language :
- English
- Database :
- OpenAIRE
- Journal :
- Yao, W, Verdugo, F, Christiansen, R E & Johnson, S G 2022, ' Trace formulation for photonic inverse design with incoherent sources ', Structural and Multidisciplinary Optimization, vol. 65, no. 11, 336 . https://doi.org/10.1007/s00158-022-03389-5
- Accession number :
- edsair.doi.dedup.....3f968642e1a5b6485f0d1091b63fc02a
- Full Text :
- https://doi.org/10.1007/s00158-022-03389-5