Automatic Synthesis of Broadband Silicon Photonic Devices via Bayesian Optimi…
In integrated silicon photonics, broadband devices are of high interest. In this paper, we propose a fully automatic design methodology to synthesize broadband silicon photonic devices via Bayesian…
Modeling and Optimizing the Impact of Process and Equipment Parameters in Spu…
We present a method for empirically modeling and optimizing variations in sputtering deposition processes using Gaussian Process (GP) machine learning methods. Our predictive models can be trained …
Variation-Aware Methods and Models for Silicon Photonic Design-for-Manufactur…
Methods for the generation and application of process variation-aware compact models for silicon photonics are presented. Three categories of process variations are considered. First, systematic va…
Enabling Wavelength-Dependent Adjoint-Based Methods for Process Variation Sen…
To reach its potential as an emerging technology platform, integrated silicon photonics needs accompanying design-for-manufacturability (DFM) methods and tools to assist the design of silicon photo…
Karya Umum 
Filsafat 
Agama 
Ilmu-ilmu Sosial 
Bahasa 
Ilmu-ilmu Murni 
Ilmu-ilmu Terapan 
Kesenian, Hiburan, dan Olahraga 
Kesusastraan 
Geografi dan Sejarah