Stochastic simulation and robust design optimization of integrated photonic filters
Name
Weng-2017-Stochastic simulation and robust des.pdf
Size
1.08 MB
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Adobe PDF
Checksum (MD5)
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Author(s)
Melati, Daniele
Melloni, Andrea
Weng, Tsui-Wei
Daniel, Luca
Date Issued
July 2016
Journal
Nanophotonics
Publisher
Walter de Gruyter
Citation
Weng, Tsui-Wei, Daniele Melati, Andrea Melloni, and Luca Daniel. “Stochastic Simulation and Robust Design Optimization of Integrated Photonic Filters.” Nanophotonics 6, no. 1 (January 30, 2016).
Version
Final published version
Abstract
Manufacturing variations are becoming an unavoidable issue in modern fabrication processes; therefore, it is crucial to be able to include stochastic uncertainties in the design phase. In this paper, integrated photonic coupled ring resonator filters are considered as an example of significant interest. The sparsity structure in photonic circuits is exploited to construct a sparse combined generalized polynomial chaos model, which is then used to analyze related statistics and perform robust design optimization. Simulation results show that the optimized circuits are more robust to fabrication process variations and achieve a reduction of 11%–35% in the mean square errors of the 3 dB bandwidth compared to unoptimized nominal designs.
MIT Department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Massachusetts Institute of Technology. Research Laboratory of Electronics
Terms of Use
Creative Commons Attribution-NonCommercial-NoDerivs License
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1515/nanoph-2016-0110
