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Encoding molecular information in plasmonic nanostructures for anti-counterfeiting applications

Nanoscale, 2014-01, Vol.6 (1), p.282-288

2014

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Photonics Inverse Design: Pairing Deep Neural Networks With Evolutionary Algorithms

IEEE journal of selected topics in quantum electronics, 2020-01, Vol.26 (1), p.1-8

Hegde, Ravi S.

2020

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A learning based approach for designing extended unit cell metagratings

Nanophotonics (Berlin, Germany), 2022-01, Vol.11 (2), p.345-358

2022

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Deep learning: a new tool for photonic nanostructure design

Nanoscale advances, 2020-03, Vol.2 (3), p.17-123

Hegde, Ravi S

2020

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Plasmonic Silver Nanowire Structures for Two-Dimensional Multiple-Digit Molecular Data Storage Application

ACS photonics, 2014-07, Vol.1 (7), p.631-637

2014

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Printing colour at the optical diffraction limit

Nature nanotechnology, 2012-09, Vol.7 (9), p.557-561

2012

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Plasmonic CoO-Decorated Au Nanorods for Photoelectrocatalytic Water Oxidation

ACS applied nano materials, 2019-09, Vol.2 (9), p.5795-5803

2019

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All-Dielectric Metasurfaces Based on Cross-Shaped Resonators for Color Pixels with Extended Gamut

ACS photonics, 2017-05, Vol.4 (5), p.1076-1082

2017

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Improved refractive-index sensing performance in medium contrast gratings by asymmetry engineering

Optical materials express, 2020-07, Vol.10 (7), p.1616

2020

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Deep learning approach for inverse design of metasurfaces with a wider shape gamut

Optics letters, 2022-05, Vol.47 (10), p.2586-2589

2022

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Robust inverse design of all-dielectric metasurface transmission-mode color filters

Optical materials express, 2020-12, Vol.10 (12), p.3145

2020

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Optically-reconfigurable phase change material nanoantenna-embedded metamaterial waveguide

Optical materials express, 2021-04, Vol.11 (4), p.988

2021

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Highly Sensitive Refractive Index Sensors with Plasmonic Nanoantennas−Utilization of Optimal Spectral Detuning of Fano Resonances

ACS sensors, 2018-05, Vol.3 (5), p.960-966

2018

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Precision Synthesis: Designing Hot Spots over Hot Spots via Selective Gold Deposition on Silver Octahedra Edges

Small (Weinheim an der Bergstrasse, Germany), 2014-12, Vol.10 (23), p.4940-4950

2014

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Fault tolerance and noise immunity in freespace diffractive optical neural networks

Engineering Research Express, 2022-03, Vol.4 (1), p.11301

2022

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OPTIMAL DESIGN OF BEAM-DEFLECTORS USING EXTENDED UNIT-CELL METAGRATINGS

Progress in electromagnetics research M Pier M, 2019-01, Vol.77, p.83-92

2019

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Power scalable mid-infrared supercontinuum generation in ZBLAN fluoride fibers with up to 1.3 watts time-averaged power

Optics express, 2007-02, Vol.15 (3), p.865-871

2007

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Phase change material metasurface loading enables an ultrafast all-optically switchable, compact, narrowband freespace optical filter

Optics communications, 2024-10, Vol.569, p.130788, Article 130788

2024

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A microwave engineering perspective of the superlens

Applied physics. A, Materials science & processing, 2012-12, Vol.109 (4), p.831-834

2012

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Surrogate models for device design using sample-efficient Deep Learning

Solid-state electronics, 2023-01, Vol.199, p.108505, Article 108505

2023

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Multilayered Aluminum Plasmonic Metasurfaces for Ultraviolet Bandpass Filtering

IEEE photonics technology letters, 2017-01, Vol.29 (1), p.110-113

2017

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Multi-element Metagrating Design With Densely-connected Neural Networks

2021 IEEE Photonics Conference (IPC), 2021, p.1-2

2021

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Deep-learning enabled photonic nanostructure discovery in arbitrarily large shape sets via linked latent space representation learning

Digital discovery, 2024-08, Vol.3 (8), p.1612-1623

2024

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Broadband Optical Response in Ternary Tree Fractal Plasmonic Nanoantenna

Plasmonics (Norwell, Mass.), 2016-04, Vol.11 (2), p.465-473

2016

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RAPID DESIGN OF WIDE-AREA HETEROGENEOUS ELECTROMAGNETIC METASURFACES BEYOND THE UNIT-CELL APPROXIMATION

Progress in electromagnetics research M Pier M, 2017, Vol.60, p.1-10

2017

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Encoding molecular information in plasmonic nanostructures for anti-counterfeiting applications

Photonics Inverse Design: Pairing Deep Neural Networks With Evolutionary Algorithms

A learning based approach for designing extended unit cell metagratings

Deep learning: a new tool for photonic nanostructure design

Plasmonic Silver Nanowire Structures for Two-Dimensional Multiple-Digit Molecular Data Storage Application

Printing colour at the optical diffraction limit

Plasmonic CoO-Decorated Au Nanorods for Photoelectrocatalytic Water Oxidation

All-Dielectric Metasurfaces Based on Cross-Shaped Resonators for Color Pixels with Extended Gamut

Improved refractive-index sensing performance in medium contrast gratings by asymmetry engineering

Deep learning approach for inverse design of metasurfaces with a wider shape gamut

Robust inverse design of all-dielectric metasurface transmission-mode color filters

Optically-reconfigurable phase change material nanoantenna-embedded metamaterial waveguide

Highly Sensitive Refractive Index Sensors with Plasmonic Nanoantennas−Utilization of Optimal Spectral Detuning of Fano Resonances

Precision Synthesis: Designing Hot Spots over Hot Spots via Selective Gold Deposition on Silver Octahedra Edges

Fault tolerance and noise immunity in freespace diffractive optical neural networks

OPTIMAL DESIGN OF BEAM-DEFLECTORS USING EXTENDED UNIT-CELL METAGRATINGS

Power scalable mid-infrared supercontinuum generation in ZBLAN fluoride fibers with up to 1.3 watts time-averaged power

Phase change material metasurface loading enables an ultrafast all-optically switchable, compact, narrowband freespace optical filter

A microwave engineering perspective of the superlens

Surrogate models for device design using sample-efficient Deep Learning

Multilayered Aluminum Plasmonic Metasurfaces for Ultraviolet Bandpass Filtering

Multi-element Metagrating Design With Densely-connected Neural Networks

Deep-learning enabled photonic nanostructure discovery in arbitrarily large shape sets via linked latent space representation learning

Broadband Optical Response in Ternary Tree Fractal Plasmonic Nanoantenna

RAPID DESIGN OF WIDE-AREA HETEROGENEOUS ELECTROMAGNETIC METASURFACES BEYOND THE UNIT-CELL APPROXIMATION

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