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Title Identifying Discrete Breather using convolutional neural networks
Alternative Title Αναγνώριση Διακριτών Πνοών χρησιμοποιώντας συνελικτικά νευρωνικά δίκτυα
Author Δόγκας, Θωμάς
Thesis advisor Τσιρώνης, Γεώργιος
Abstract Discrete Breathers (DB) are the solutions of a non-linear partial differential equation in discrete lattice that are time-periodic and space localized. By constructing images of DBs and phonons with 3 different non-linear potentials we will try to use Convolutional Neural Networks to classify DBs from phonons and also to identify the potential that each image was created.
Language English
Issue date 2022-11-25
Collection   School/Department--School of Sciences and Engineering--Department of Physics--Graduate theses
  Type of Work--Graduate theses
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