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Peter R Wiecha

Showing results (1-10 of 14) with videos related to

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Nano Letters|December 12, 2019
Deep Learning Meets Nanophotonics: A Generalized Accurate Predictor for Near Fields and Far Fields of Arbitrary 3D NanostructuresPeter R Wiecha, Otto L Muskens
Nature Nanotechnology|January 22, 2019
Pushing the limits of optical information storage using deep learningPeter R Wiecha, Aurélie Lecestre, Nicolas Mallet, et al.
Current Opinion in Solid State & Materials Science|July 30, 2024
Advancing materials science through next-generation machine learningRohit Unni, Mingyuan Zhou, Peter R Wiecha, et al.
Optics Express|September 13, 2019
Deep learning enabled real time speckle recognition and hyperspectral imaging using a multimode fiber arrayUlas Kürüm, Peter R Wiecha, Rebecca French, et al.
Optics Express|August 13, 2025
Gradient-based optimization of core-shell particles with discrete materials for directional scatteringDalin Soun, Antoine Azéma, Lucien Roach, et al.
ACS Photonics|March 24, 2025
Inverse Design of Unitary Transmission Matrices in Silicon Photonic Coupled Waveguide Arrays Using a Neural Adjoint ModelThomas W Radford, Peter R Wiecha, Alberto Politi, et al.
Nature Nanotechnology|November 8, 2016
Evolutionary multi-objective optimization of colour pixels based on dielectric nanoantennasPeter R Wiecha, Arnaud Arbouet, Christian Girard, et al.
Nanophotonics (Berlin, Germany)|December 5, 2024
A newcomer's guide to deep learning for inverse design in nano-photonicsAbdourahman Khaireh-Walieh, Denis Langevin, Pauline Bennet, et al.
Optics Express|November 6, 2019
Design of plasmonic directional antennas via evolutionary optimizationPeter R Wiecha, Clément Majorel, Christian Girard, et al.
Nanophotonics (Berlin, Germany)|December 5, 2024
Generalizing the exact multipole expansion: density of multipole modes in complex photonic nanostructuresClément Majorel, Adelin Patoux, Ana Estrada-Real, et al.
Pageof 2

Showing results (1-10 of 14) with videos related to

Sort By:
Pageof 2
Nano Letters|December 12, 2019
Deep Learning Meets Nanophotonics: A Generalized Accurate Predictor for Near Fields and Far Fields of Arbitrary 3D NanostructuresPeter R Wiecha, Otto L Muskens
Nature Nanotechnology|January 22, 2019
Pushing the limits of optical information storage using deep learningPeter R Wiecha, Aurélie Lecestre, Nicolas Mallet, et al.
Current Opinion in Solid State & Materials Science|July 30, 2024
Advancing materials science through next-generation machine learningRohit Unni, Mingyuan Zhou, Peter R Wiecha, et al.
Optics Express|September 13, 2019
Deep learning enabled real time speckle recognition and hyperspectral imaging using a multimode fiber arrayUlas Kürüm, Peter R Wiecha, Rebecca French, et al.
Optics Express|August 13, 2025
Gradient-based optimization of core-shell particles with discrete materials for directional scatteringDalin Soun, Antoine Azéma, Lucien Roach, et al.
ACS Photonics|March 24, 2025
Inverse Design of Unitary Transmission Matrices in Silicon Photonic Coupled Waveguide Arrays Using a Neural Adjoint ModelThomas W Radford, Peter R Wiecha, Alberto Politi, et al.
Nature Nanotechnology|November 8, 2016
Evolutionary multi-objective optimization of colour pixels based on dielectric nanoantennasPeter R Wiecha, Arnaud Arbouet, Christian Girard, et al.
Nanophotonics (Berlin, Germany)|December 5, 2024
A newcomer's guide to deep learning for inverse design in nano-photonicsAbdourahman Khaireh-Walieh, Denis Langevin, Pauline Bennet, et al.
Optics Express|November 6, 2019
Design of plasmonic directional antennas via evolutionary optimizationPeter R Wiecha, Clément Majorel, Christian Girard, et al.
Nanophotonics (Berlin, Germany)|December 5, 2024
Generalizing the exact multipole expansion: density of multipole modes in complex photonic nanostructuresClément Majorel, Adelin Patoux, Ana Estrada-Real, et al.
Pageof 2