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A machine learning repository used in my Bachelor Thesis for developing models for nanophotonics

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pabloga44/Neural-Networks-nanophotonics

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Bachelor Thesis repository of Pablo Gallego

Physics degree in Universidad Autónoma de Madrid, 2020/21

In this repository there are some tools for developing neural network models using Tensorflow applied to nanophotonics problems.

In the models folder you can find some examples of neural networks for predicting the electromagnetic response of a eliptical metal nanoparticle when it is reached by a plane monocromatic wave.
The networks recieve some input parameters refering to the particle's geometry, the length of each one of its semi-axes and its angle of inclination, and they return as output the spectrum of its Cross section for a range of incident frequencies.

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A machine learning repository used in my Bachelor Thesis for developing models for nanophotonics

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