Deep Learning-Based Modelling of Complex Photonic Crystal Slow Light Waveguides

Exploring High-Performance Slow Light Grating Waveguides By Means of Deep Learning

(2022) Huaqing Jiang et al.   IEEE PHOTONICS TECHNOLOGY LETTERS

Improving Low-Dispersion Bandwidth of the Silicon Photonic Crystal Waveguides for Ultrafast Integrated Photonics

(2021) Jinghan Pan et al.   Photonics

Si photonic crystal slow-light waveguides optimized through informatics technology

(2021) Keisuke Hirotani et al.   OPTICS LETTERS

High-Q slow light and its localization in a photonic crystal microring

(2021) Xiyuan Lu et al.   Nature Photonics

High‐Responsivity Mid‐Infrared Black Phosphorus Slow Light Waveguide Photodetector

(2020) Yiming Ma et al.   Advanced Optical Materials

Optical RAM and integrated optical memories: a survey

(2020) Theoni Alexoudi et al.   Light-Science & Applications

Inverse Design of Photonic Crystals through Automatic Differentiation

(2020) Momchil Minkov et al.   ACS Photonics

Predictive and generative machine learning models for photonic crystals

(2020) Thomas Christensen et al.   Nanophotonics

Deep learning for the design of photonic structures

(2020) Wei Ma et al.   Nature Photonics

Storage and retrieval of slow-light dark solitons

(2020) Chong Shou et al.   OPTICS LETTERS

Machine learning techniques for state recognition and auto-tuning in quantum dots

(2019) Sandesh S. Kalantre et al.   npj Quantum Information

Learning from Failure: Predicting Electronic Structure Calculation Outcomes with Machine Learning Models

(2019) Chenru Duan et al.   Journal of Chemical Theory and Computation

64 Gbps Si photonic crystal slow light modulator by electro-optic phase matching

(2019) Yosuke Hinakura et al.   OPTICS EXPRESS

Slow light engineering in resonant photonic crystal line-defect waveguides

(2019) Maliheh Khatibi Moghaddam et al.   OPTICS EXPRESS

Switchable slow light rainbow trapping and releasing in strongly coupling topological photonic systems

(2019) Jianfeng Chen et al.   Photonics Research

Machine learning approach for computing optical properties of a photonic crystal fiber

(2019) Sunny Chugh et al.   OPTICS EXPRESS

Dispersion Engineering With Photonic Inverse Design

(2019) Dries Vercruysse et al.   IEEE JOURNAL OF SELECTED TOPICS IN QUANTUM ELECTRONICS

Machine Learning Regression Approach to the Nanophotonic Waveguide Analyses

(2019) Sunny Chugh et al.   JOURNAL OF LIGHTWAVE TECHNOLOGY

Training Deep Neural Networks for the Inverse Design of Nanophotonic Structures

(2018) Dianjing Liu et al.   ACS Photonics

Plasmonic nanostructure design and characterization via Deep Learning

(2018) Itzik Malkiel et al.   Light-Science & Applications

Inverse design in nanophotonics

(2018) Sean Molesky et al.   Nature Photonics

Dispersion engineering and thermo-optic tuning in mid-infrared photonic crystal slow light waveguides on silicon-on-insulator

(2018) Yiming Ma et al.   OPTICS LETTERS

Five-Line Photonic Crystal Waveguide for Optical Buffering and Data Interconnection of Picosecond Pulse

(2018) Sayed Elshahat et al.   JOURNAL OF LIGHTWAVE TECHNOLOGY

Bayesian regularisation neural network based on artificial intelligence optimisation

(2016) Dingqi Yan et al.   INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH

Slow light with large group index  –  bandwidth product in lattice-shifted photonic crystal waveguides

(2016) Jian Tang et al.   JOURNAL OF MODERN OPTICS

Experimental GVD engineering in slow light slot photonic crystal waveguides

(2016) Samuel Serna et al.   Scientific Reports

Wideband and Low Dispersion Slow Light in Lattice-Shifted Photonic Crystal Waveguides

(2013) Jian Tang et al.   JOURNAL OF LIGHTWAVE TECHNOLOGY

Neural network methods for one-to-many multi-valued mapping problems

(2010) Chrisina Jayne et al.   NEURAL COMPUTING & APPLICATIONS

Improvement of delay-bandwidth product
in photonic crystal slow-light waveguides

(2010) Ran Hao et al.   OPTICS EXPRESS