Roadmap on silicon photonics
By D. Thomson, A. Zilkie, John E. Bowers, T. Komljenovic, Graham T. Reed, Laurent Vivien, D. Marris‐Morini, É. Cassan, L. Virot, J. Fédéli and 7 more. 2016
1,175 citations recorded by the source corpus.
Subfields: Atomic and Molecular Physics, and Optics, Electrical and Electronic Engineering
View Paper: https://www.semanticscholar.org/paper/330fecff7081d0bb710162b3057af3e62aa15956
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In Atomic and Molecular Physics, and Optics
In Electrical and Electronic Engineering
- John E. Bowers
- David A. B. Miller
- David T. Neilson
- Justin C. Norman
- Jiaqi Jiang
- Jonathan A. Fan
- Peter J. Winzer
- René-Jean Essiambre
Citations in the corpus
- Deep neural networks for the evaluation and design of photonic devices (2020, background): “vergence53, which is a symmetric function defined as the average KL divergence of Pˆ(x) and P(x) from their mixed distribution (Pˆ(x)+P(x))=2: D JS(Pˆ;P)= 1 2 D KL(Pˆjj Pˆ+P 2 )+ 1 2 D KL(Pjj Pˆ+P 2 ) (3) Both KL divergence and JS divergence are minimized when P(x) and Pˆ(x) are the same. Therefore, ”
- Highly Reliable Low-Threshold InAs Quantum Dot Lasers on On-Axis (001) Si with 87% Injection Efficiency (2018, background): “(1), the net modal gain (&net) can be 119”
- From Scaling Disparities to Integrated Parallelism: A Decathlon for a Decade (2017, background): “In order to interface these arrays to a CMOS ASIC performing the coherent DSP, optics-electronic integration is needed [138], [139], be it mono-”