Stochastic simulation and robust design optimization of integrated photonic filters

Nanophotonics

article

Tsui-Wei Weng¹  Daniele Melati²  Andrea Melloni²  Luca Daniel¹ 

[1] Research Laboratory of Electronics, Massachusetts Institute of Technology (MIT);Dipartimento di Elettronica

关键词: design optimization;    generalized polynomial chaos;    process variations;    photonic integrated circuits;    yield;    coupled ring resonator filters;   

DOI  :  10.1515/nanoph-2016-0110

学科分类：社会科学、人文和艺术（综合）

来源: De Gruyter

【 摘 要 】

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.

【 授权许可】

CC BY