Few-Shot Bayesian Performance Modeling for Silicon Photonic Devices Under Process Variation
Author:
Affiliation:
1. Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, MA, USA
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Atomic and Molecular Physics, and Optics
Link
http://xplorestaging.ieee.org/ielx7/50/10234127/10109764.pdf?arnumber=10109764
Reference32 articles.
1. Process Variation-Aware Compact Model of Strip Waveguides for Photonic Circuit Simulation
2. Accurate extraction of fabricated geometry using optical measurement
3. Capturing the Effects of Spatial Process Variations in Silicon Photonic Circuits
4. Effects of coupling and phase imperfections in programmable photonic hexagonal waveguide meshes
5. Silicon Photonics Design
Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Stochastic and multi-objective design of photonic devices with machine learning;Scientific Reports;2024-03-26
2. Ultrasmall Power Splitters With Triangular Lattice Mosaic Patterns Designed by Bayesian DBS Method;IEEE Photonics Technology Letters;2023-11-01
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