Flexible simulation package for optical neural networks
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Apr 22, 2020 - Python
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nanophotonics
Here are 12 public repositories matching this topic...
Here, we use a conditional deep convolutional generative adversarial network (cDCGAN) to inverse design across multiple classes of metasurfaces. Reference: https://onlinelibrary.wiley.com/doi/10.1002/adom.202100548
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Jun 3, 2022 - Python
Optimization and inverse design of photonic crystals using deep reinforcement learning
reinforcement-learning deep-learning optimization-algorithms semiconductor-devices optoelectronics nanophotonics inverse-design photonic-crystal
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Apr 11, 2023 - Python
Electromagnetic FDTD simulations and inverse design for nanophotonic devices with Python. ✨
simulation physics numpy fdtd gpu-acceleration electromagnetics photonics jax nanophotonics inverse-design
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Jan 12, 2026 - Python
Here, we use Deep SHAP (or SHAP) to explain the behavior of nanophotonic structures learned by a convolutional neural network (CNN). Reference: https://pubs.acs.org/doi/full/10.1021/acsphotonics.0c01067
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May 7, 2022 - Python
Free and open-source code package designed to perform PyMEEP FDTD simulations applied to Plasmonics (UBA+CONICET) [Buenos Aires, Argentina]
fdtd meep electromagnetism nanoparticles plasmonics nanophotonics simulations-physics absorption-spectra scattering-physics
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Jan 19, 2022 - Python
Modeling and designing Photonic Crystal Nanocavities via Deep Learning
deep-learning laser photonic-crystals photonics deepneuralnetworks nanophotonics convolutionalneuralnetwork
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Apr 7, 2022 - Python
Computational Photonics in Python with the finite element method. Mirror of https://gitlab.com/gyptis/gyptis
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Oct 29, 2025 - Python
The code for the work presented in the research paper titled "***"
python deep-learning anaconda code tensorflow matlab keras artificial-intelligence neural-networks datasets artificial-neural-network scientific-reports nanophotonics inverse-design supplementary-materials supplementary-information plasmonic-switch
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Mar 10, 2024 - Python
The code for the work presented in the research paper titled "Nanophotonic Structure Inverse Design for Switching Application Using Deep Learning"
python deep-learning neural-network anaconda code tensorflow matlab keras artificial-intelligence dataset plasmonics supplementary-data nanophotonics inverse-design supplementary-materials supplementary-information plasmonic-switch nature-communications
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May 16, 2024 - Python
Electrodynamics simulator for calculating the fields and potentials generated by moving point charges and simulating oscillating dipoles with and without periodic mechanical motion.
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Jan 31, 2024 - Python
Implementation of the Rayleigh method to study the optical response of natural photonic structures using digitalized images as an input.
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Feb 14, 2025 - Python
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