Deep neural networks for the evaluation and design of photonic devices

Topological encoding method for data-driven photonics inverse design

(2020) Zhaocheng Liu et al.   OPTICS EXPRESS

Inverse design of plasmonic metasurfaces by convolutional neural network

(2020) Ronghui Lin et al.   OPTICS LETTERS

Deep Learning for the Inverse Design of Mid-Infrared Graphene Plasmons

(2020) Anh D. Phan et al.   Crystals

Deep learning approach based on dimensionality reduction for designing electromagnetic nanostructures

(2020) Yashar Kiarashinejad et al.   npj Computational Materials

Metasurface inverse design using machine learning approaches

(2020) Xin Shi et al.   JOURNAL OF PHYSICS D-APPLIED PHYSICS

Freeform metasurface design based on topology optimization

(2020) Jonathan A. Fan   MRS BULLETIN

Unveiling the predictive power of static structure in glassy systems

(2020) V. Bapst et al.   Nature Physics

MetaNet: a new paradigm for data sharing in photonics research

(2020) Jiaqi Jiang et al.   OPTICS EXPRESS

Teaching optics to a machine learning network

(2020) André-Pierre Blanchard-Dionne et al.   OPTICS LETTERS

A Hybrid Strategy for the Discovery and Design of Photonic Structures

(2020) Zhaocheng Liu et al.   IEEE Journal on Emerging and Selected Topics in Circuits and Systems

Mapping the Design Space of Photonic Topological States via Deep Learning

(2020) ROBIN SINGH et al.   OPTICS EXPRESS

Inverse Design of Photonic Crystals through Automatic Differentiation

(2020) Momchil Minkov et al.   ACS Photonics

Robust Freeform Metasurface Design Based on Progressively Growing Generative Networks

(2020) Fufang Wen et al.   ACS Photonics

Machine-learning-assisted metasurface design for high-efficiency thermal emitter optimization

(2020) Zhaxylyk A. Kudyshev et al.   Applied Physics Reviews

Exploiting deep learning network in optical chirality tuning and manipulation of diffractive chiral metamaterials

(2020) Zilong Tao et al.   Nanophotonics

Design Space Reparameterization Enforces Hard Geometric Constraints in Inverse-Designed Nanophotonic Devices

(2020) Mingkun Chen et al.   ACS Photonics

Multiobjective and categorical global optimization of photonic structures based on ResNet generative neural networks

(2020) Jiaqi Jiang et al.   Nanophotonics

Robust design of topology-optimized metasurfaces

(2019) Evan W. Wang et al.   Optical Materials Express

Efficient spectrum prediction and inverse design for plasmonic waveguide systems based on artificial neural networks

(2019) Tian Zhang et al.   Photonics Research

Deep Neural Network Inverse Design of Integrated Photonic Power Splitters

(2019) Mohammad H. Tahersima et al.   Scientific Reports

Review of numerical optimization techniques for meta-device design [Invited]

(2019) Sawyer D. Campbell et al.   Optical Materials Express

Optimisation of colour generation from dielectric nanostructures using reinforcement learning

(2019) Iman Sajedian et al.   OPTICS EXPRESS

Design and optimization of optical passive elements using artificial neural networks

(2019) Ahmed M. Gabr et al.   JOURNAL OF THE OPTICAL SOCIETY OF AMERICA B-OPTICAL PHYSICS

Inverse design of photonic topological state via machine learning

(2019) Yang Long et al.   APPLIED PHYSICS LETTERS

Extreme nanophotonics from ultrathin metallic gaps

(2019) Jeremy J. Baumberg et al.   NATURE MATERIALS

High-efficiency, large-area, topology-optimized metasurfaces

(2019) Thaibao Phan et al.   Light-Science & Applications

Migrating Knowledge between Physical Scenarios Based on Artificial Neural Networks

(2019) Yurui Qu et al.   ACS Photonics

Simultaneous Inverse Design of Materials and Structures via Deep Learning: Demonstration of Dipole Resonance Engineering Using Core–Shell Nanoparticles

(2019) Sunae So et al.   ACS Applied Materials & Interfaces

Free-Form Diffractive Metagrating Design Based on Generative Adversarial Networks

(2019) Jiaqi Jiang et al.   ACS Nano

Probabilistic Representation and Inverse Design of Metamaterials Based on a Deep Generative Model with Semi-Supervised Learning Strategy

(2019) Wei Ma et al.   ADVANCED MATERIALS

Global Optimization of Dielectric Metasurfaces Using a Physics-Driven Neural Network

(2019) Jiaqi Jiang et al.   NANO LETTERS

Guaranteed global optimization of thin-film optical systems

(2019) Paul Azunre et al.   NEW JOURNAL OF PHYSICS

Accelerating optics design optimizations with deep learning

(2019) Ravi S. Hegde   OPTICAL ENGINEERING

Analytical level set fabrication constraints for inverse design

(2019) Dries Vercruysse et al.   Scientific Reports

Double-deep Q-learning to increase the efficiency of metasurface holograms

(2019) Iman Sajedian et al.   Scientific Reports

Plasmonic colours predicted by deep learning

(2019) Joshua Baxter et al.   Scientific Reports

Finding the optical properties of plasmonic structures by image processing using a combination of convolutional neural networks and recurrent neural networks

(2019) Iman Sajedian et al.   Microsystems & Nanoengineering

Deep reinforcement learning for coherent beam combining applications

(2019) Henrik Tünnermann et al.   OPTICS EXPRESS

Designing integrated photonic devices using artificial neural networks

(2019) Alec M. Hammond et al.   OPTICS EXPRESS

Deep learning for accelerated all-dielectric metasurface design

(2019) Christian C. Nadell et al.   OPTICS EXPRESS

A Bidirectional Deep Neural Network for Accurate Silicon Color Design

(2019) Li Gao et al.   ADVANCED MATERIALS

Graph Convolutional Neural Networks for Predicting Drug-Target Interactions

(2019) Wen Torng et al.   Journal of Chemical Information and Modeling

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

(2019) Sunny Chugh et al.   OPTICS EXPRESS

Self-Learning Perfect Optical Chirality via a Deep Neural Network

(2019) Yu Li et al.   PHYSICAL REVIEW LETTERS

Mapping the global design space of nanophotonic components using machine learning pattern recognition

(2019) Daniele Melati et al.   Nature Communications

Global optimization of metasurface designs using statistical learning methods

(2019) Mahmoud M. R. Elsawy et al.   Scientific Reports

Benchmarking Five Global Optimization Approaches for Nano-optical Shape Optimization and Parameter Reconstruction

(2019) Philipp-Immanuel Schneider et al.   ACS Photonics

Forward-Mode Differentiation of Maxwell’s Equations

(2019) Tyler W. Hughes et al.   ACS Photonics

A Deep Learning Approach for Objective-Driven All-Dielectric Metasurface Design

(2019) Sensong An et al.   ACS Photonics

Dispersion Engineering With Photonic Inverse Design

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

Computational design of efficient grating couplers using artificial intelligence

(2019) Yuto Miyatake et al.   JAPANESE JOURNAL OF APPLIED PHYSICS

Deep Learning Meets Nanophotonics: A Generalized Accurate Predictor for Near Fields and Far Fields of Arbitrary 3D Nanostructures

(2019) Peter R. Wiecha et al.   NANO LETTERS

Data-driven acceleration of photonic simulations

(2019) Rahul Trivedi et al.   Scientific Reports

Wave physics as an analog recurrent neural network

(2019) Tyler W. Hughes et al.   Science Advances

Deep-Learning-Enabled On-Demand Design of Chiral Metamaterials

(2018) Wei Ma et al.   ACS Nano

Neural network based design of metagratings

(2018) Sandeep Inampudi et al.   APPLIED PHYSICS LETTERS

Towards an integrated evolutionary strategy and artificial neural network computational tool for designing photonic coupler devices

(2018) Adriano da Silva Ferreira et al.   APPLIED SOFT COMPUTING

Multivalued Neural Network Inverse Modeling and Applications to Microwave Filters

(2018) Chao Zhang et al.   IEEE TRANSACTIONS ON MICROWAVE THEORY AND TECHNIQUES

Computing Optical Properties of Photonic Crystals by Using Multilayer Perceptron and Extreme Learning Machine

(2018) Adriano da Silva Ferreira et al.   JOURNAL OF LIGHTWAVE TECHNOLOGY

Imaging-based molecular barcoding with pixelated dielectric metasurfaces

(2018) Andreas Tittl et al.   SCIENCE

Training Deep Neural Networks for the Inverse Design of Nanophotonic Structures

(2018) Dianjing Liu et al.   ACS Photonics

Ultra-High-Efficiency Anomalous Refraction with Dielectric Metasurfaces

(2018) David Sell et al.   ACS Photonics

Nanophotonic particle simulation and inverse design using artificial neural networks

(2018) John Peurifoy et al.   Science Advances

Generative Model for the Inverse Design of Metasurfaces

(2018) Zhaocheng Liu et al.   NANO LETTERS

Plasmonic nanostructure design and characterization via Deep Learning

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

Battery-operated integrated frequency comb generator

(2018) Brian Stern et al.   NATURE

Optimization of photonic crystal nanocavities based on deep learning

(2018) Takashi Asano et al.   OPTICS EXPRESS

Adjoint Method and Inverse Design for Nonlinear Nanophotonic Devices

(2018) Tyler W. Hughes et al.   ACS Photonics

Recent advances in optical technologies for data centers: a review

(2018) Qixiang Cheng et al.   Optica

Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations

(2018) M. Raissi et al.   JOURNAL OF COMPUTATIONAL PHYSICS

An Open-Source Artificial Neural Network Model for Polarization-Insensitive Silicon-on-Insulator Subwavelength Grating Couplers

(2018) Dusan Gostimirovic et al.   IEEE JOURNAL OF SELECTED TOPICS IN QUANTUM ELECTRONICS

Large-Angle, Multifunctional Metagratings Based on Freeform Multimode Geometries

(2017) David Sell et al.   NANO LETTERS

Deep learning with coherent nanophotonic circuits

(2017) Yichen Shen et al.   Nature Photonics

Analysis of material selection on dielectric metasurface performance

(2017) Jianji Yang et al.   OPTICS EXPRESS

Topology-optimized metasurfaces: impact of initial geometric layout

(2017) Jianji Yang et al.   OPTICS LETTERS

Periodic Dielectric Metasurfaces with High-Efficiency, Multiwavelength Functionalities

(2017) David Sell et al.   Advanced Optical Materials

Optimization of Multilayer Optical Films with a Memetic Algorithm and Mixed Integer Programming

(2017) Yu Shi et al.   ACS Photonics

Roadmap on optical metamaterials

(2016) Augustine M Urbas et al.   Journal of Optics

Roadmap on silicon photonics

(2016) David Thomson et al.   Journal of Optics

Broadband diffusion metasurface based on a single anisotropic element and optimized by the Simulated Annealing algorithm

(2016) Yi Zhao et al.   Scientific Reports

Machine-learning approaches in drug discovery: methods and applications

(2015) Antonio Lavecchia   DRUG DISCOVERY TODAY

Deep learning

(2015) Yann LeCun et al.   NATURE

Inverse design and demonstration of a compact and broadband on-chip wavelength demultiplexer

(2015) Alexander Y. Piggott et al.   Nature Photonics

Optimization of FSS with Sierpinski island fractal elements using population-based search algorithms and MLP neural network

(2014) Marcelo R. da Silva et al.   MICROWAVE AND OPTICAL TECHNOLOGY LETTERS

Flat optics with designer metasurfaces

(2014) Nanfang Yu et al.   NATURE MATERIALS

Novel neural network based optimization approach for photonic devices

(2014) Dalia D. El-Mosalmy et al.   OPTICAL AND QUANTUM ELECTRONICS

Large-scale nanophotonic phased array

(2013) Jie Sun et al.   NATURE

Adjoint shape optimization applied to electromagnetic design

(2013) Christopher M. Lalau-Keraly et al.   OPTICS EXPRESS

Prediction of Dispersion Relation and PBGs in 2-D PCs by Using Artificial Neural Networks

(2012) Gilliard N. Malheiros-Silveira et al.   IEEE PHOTONICS TECHNOLOGY LETTERS

A survey on unsupervised outlier detection in high-dimensional numerical data

(2012) Arthur Zimek et al.   Statistical Analysis and Data Mining

The GPU Computing Era

(2010) John Nickolls et al.   IEEE MICRO

Blending PSO and ANN for Optimal Design of FSS Filters With Koch Island Patch Elements

(2010) Paulo Henrique da F. Silva et al.   IEEE TRANSACTIONS ON MAGNETICS

Autonomous Helicopter Aerobatics through Apprenticeship Learning

(2010) Pieter Abbeel et al.   INTERNATIONAL JOURNAL OF ROBOTICS RESEARCH

Topology optimization for nano-photonics

(2010) J.S. Jensen et al.   Laser & Photonics Reviews

A Survey on Transfer Learning

(2009) Sinno Jialin Pan et al.   IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING

Photonic quantum technologies

(2009) Jeremy L. O'Brien et al.   Nature Photonics

Space mapping

(2008) Slawomir Koziel et al.   IEEE MICROWAVE MAGAZINE