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Article Details

Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

Duality at Classical Electrodynamics and its Interpretation through Machine Learning Algorithms

Author 1: Huber Nieto-Chaupis

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Digital Object Identifier (DOI) : 10.14569/IJACSA.2022.0130877

Article Published in International Journal of Advanced Computer Science and Applications(IJACSA), Volume 13 Issue 8, 2022.

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Abstract: The aim of this paper is to investigate the hypothetical duality of classical electrodynamics and quantum mechanics through the usage of Machine Learning principles. Thus, the Mitchell’s criteria are used. Essentially this paper is focused on the radiated energy by a free electron inside an intense laser. The usage of mathematical strategies might be correct to some extent so that one expects that classical equation would contain a dual meaning. The concrete case of Compton scattering is analyzed. While at some quantum field theories might not be scrutinized by computer algorithms, contrary to this Quantum Electrodynamics would constitute a robust example.

Keywords: Classical electrodynamics; quantum mechanics; machine learning principles; mitchell’s criteria

Huber Nieto-Chaupis, “Duality at Classical Electrodynamics and its Interpretation through Machine Learning Algorithms” International Journal of Advanced Computer Science and Applications(IJACSA), 13(8), 2022. http://dx.doi.org/10.14569/IJACSA.2022.0130877

@article{Nieto-Chaupis2022,
title = {Duality at Classical Electrodynamics and its Interpretation through Machine Learning Algorithms},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2022.0130877},
url = {http://dx.doi.org/10.14569/IJACSA.2022.0130877},
year = {2022},
publisher = {The Science and Information Organization},
volume = {13},
number = {8},
author = {Huber Nieto-Chaupis}
}


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