Predicting Broadband Resonator-Waveguide Coupling for Microresonator Frequency Combs through Fully Connected and Recurrent Neural Networks and Attention Mechanism

[1]  K. Srinivasan,et al.  Integrated Buried Heaters for Efficient Spectral Control of Air-Clad Microresonator Frequency Combs , 2022, APL Photonics.

[2]  L. Virot Ultrafast on-chip germanium photodiode , 2021, Nature Photonics.

[3]  A. Raman,et al.  Enhancing Adjoint Optimization-Based Photonic Inverse Design with Explainable Machine Learning , 2021, ACS Photonics.

[4]  M. Lipson,et al.  Methods to achieve ultra-high quality factor silicon nitride resonators , 2021, APL Photonics.

[5]  Firooz Aflatouni,et al.  An on-chip photonic deep neural network for image classification , 2021, Nature.

[6]  F. Yin,et al.  LLM helps design and optimize photonic crystal surface emitting lasers , 2021, 2104.12145.

[7]  Ye Wang,et al.  Generative Deep Learning Model for Inverse Design of Integrated Nanophotonic Devices , 2020, Laser & Photonics Reviews.

[8]  Wei Ma,et al.  Deep learning for the design of photonic structures , 2020, Nature Photonics.

[9]  N. Zheludev,et al.  Artificial intelligence for photonics and photonic materials , 2020, Reports on progress in physics. Physical Society.

[10]  K. Vahala,et al.  Optical frequency combs: Coherently uniting the electromagnetic spectrum , 2020, Science.

[11]  Jiaqi Jiang,et al.  Deep neural networks for the evaluation and design of photonic devices , 2020, Nature Reviews Materials.

[12]  M. Soljačić,et al.  Predictive and generative machine learning models for photonic crystals , 2020, Nanophotonics.

[13]  Bowen Zheng,et al.  A Deep Learning Approach for Objective-Driven All-Dielectric Metasurface Design , 2019, ACS Photonics.

[14]  Jason Hickey,et al.  Data-driven metasurface discovery , 2018, ArXiv.

[15]  Shanhui Fan,et al.  Adjoint Method and Inverse Design for Nonlinear Nanophotonic Devices , 2018, ACS Photonics.

[16]  Alex Sherstinsky,et al.  Fundamentals of Recurrent Neural Network (RNN) and Long Short-Term Memory (LSTM) Network , 2018, Physica D: Nonlinear Phenomena.

[17]  Jelena Vucković,et al.  Inverse design in nanophotonics , 2018, Nature Photonics.

[18]  Li Jing,et al.  Nanophotonic particle simulation and inverse design using artificial neural networks , 2017, Science Advances.

[19]  Zongfu Yu,et al.  Training Deep Neural Networks for the Inverse Design of Nanophotonic Structures , 2017, 2019 Conference on Lasers and Electro-Optics (CLEO).

[20]  Alexander Y. Piggott,et al.  Inverse design and demonstration of a compact on-chip narrowband three-channel wavelength demultiplexer , 2017, 1709.08809.

[21]  M. Gorodetsky,et al.  Dissipative Kerr solitons in optical microresonators , 2015, Science.

[22]  P. Dumon,et al.  Silicon microring resonators , 2012 .

[23]  Shanhui Fan,et al.  Coupling of modes analysis of resonant channel add-drop filters , 1999 .

[24]  S. Ho,et al.  Design and modeling of waveguide-coupled single-mode microring resonators , 1998 .

[25]  D. G. Rabus,et al.  Integrated Ring Resonators , 2020, Springer Series in Optical Sciences.