Record link: 
http://hdl.handle.net/20.500.12708/139229
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Title: 
Automated Design of Photonic Crystal Demultiplexers
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Citation: 
Blankrot, B., & Heitzinger, C. (2018). Automated Design of Photonic Crystal Demultiplexers. In Mirko Barbuto & Fedotov Vassili (Eds.), 2018 12th International Congress on Artificial Materials for Novel Wave Phenomena (Metamaterials) (pp. 55–57). https://doi.org/10.1109/MetaMaterials.2018.8534050
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Publisher DOI: 
10.1109/MetaMaterials.2018.8534050
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Publication Type: 
Inproceedings - Full-Paper Contribution
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Language: 
English
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Authors: 
Blankrot, B. 
Heitzinger, C. 
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Organisational Unit: 
E101-03-2 - Forschungsgruppe Maschinelles Lernen und Unsicherheitsquantifizierung 
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Published in: 
2018 12th International Congress on Artificial Materials for Novel Wave Phenomena (Metamaterials) 
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ISBN: 
978-1-5386-4702-8
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Date (published): 
15-Nov-2018
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Event name: 
2018 12th International Congress on Artificial Materials for Novel Wave Phenomena (Metamaterials) 
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Event date: 
27-Aug-2018 - 1-Sep-2018
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Event place: 
Espoo, Finland
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Number of Pages: 
3
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Keywords: 
photonic crystals demultiplexer; gradient-based optimization; arbitrary objective functions
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Abstract: 
We describe an approach for the automated design of photonic crystals for various applications. Our approach includes gradient-based optimization for arbitrary objective functions, with the electromagnetic fields calculated by an accurate multiple-scattering approach. An example of a two-color silicon photonic crystal demultiplexer designed by our method is presented, with dozens of parameters chosen automatically in reasonable time. The optimized device exhibits strong focusing with low crosstalk for both frequencies.
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Project title: 
Partielle Differentialgleichungen für Nanotechnologie: Y660-N25 (Fonds zur Förderung der wissenschaftlichen Forschung (FWF)) 
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Research Areas: 
Modeling and Simulation: 100%
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Science Branch: 
1010 - Mathematik: 100%
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Appears in Collections:
Conference Paper

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