Numerical Algorithms in III–V Semiconductor Heterostructures
In the current research, we consider the solution of dispersion relations addressed to solid state physics by using artificial neural networks (ANNs). Most specifically, in a double semiconductor heterostructure, we theoretically investigate the dispersion relations of the interface polariton (IP) m...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2024-01-01
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| Series: | Algorithms |
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| Online Access: | https://www.mdpi.com/1999-4893/17/1/44 |
| _version_ | 1827369916128296960 |
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| author | Ioannis G. Tsoulos V. N. Stavrou |
| author_facet | Ioannis G. Tsoulos V. N. Stavrou |
| author_sort | Ioannis G. Tsoulos |
| collection | DOAJ |
| description | In the current research, we consider the solution of dispersion relations addressed to solid state physics by using artificial neural networks (ANNs). Most specifically, in a double semiconductor heterostructure, we theoretically investigate the dispersion relations of the interface polariton (IP) modes and describe the reststrahlen frequency bands between the frequencies of the transverse and longitudinal optical phonons. The numerical results obtained by the aforementioned methods are in agreement with the results obtained by the recently published literature. Two methods were used to train the neural network: a hybrid genetic algorithm and a modified version of the well-known particle swarm optimization method. |
| first_indexed | 2024-03-08T09:59:39Z |
| format | Article |
| id | doaj.art-37a9d935944e48a78789fbdcb8f897ec |
| institution | Directory Open Access Journal |
| issn | 1999-4893 |
| language | English |
| last_indexed | 2024-03-08T09:59:39Z |
| publishDate | 2024-01-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Algorithms |
| spelling | doaj.art-37a9d935944e48a78789fbdcb8f897ec2024-01-29T13:41:39ZengMDPI AGAlgorithms1999-48932024-01-011714410.3390/a17010044Numerical Algorithms in III–V Semiconductor HeterostructuresIoannis G. Tsoulos0V. N. Stavrou1Department of Informatics and Telecommunications, University of Ioannina, 45110 Ioannina, GreeceDivision of Physical Sciences, Hellenic Naval Academy, Military Institutions of University Education, 18539 Piraeus, GreeceIn the current research, we consider the solution of dispersion relations addressed to solid state physics by using artificial neural networks (ANNs). Most specifically, in a double semiconductor heterostructure, we theoretically investigate the dispersion relations of the interface polariton (IP) modes and describe the reststrahlen frequency bands between the frequencies of the transverse and longitudinal optical phonons. The numerical results obtained by the aforementioned methods are in agreement with the results obtained by the recently published literature. Two methods were used to train the neural network: a hybrid genetic algorithm and a modified version of the well-known particle swarm optimization method.https://www.mdpi.com/1999-4893/17/1/44solid state physicsneural networksgenetic algorithmsparticle swarm optimizationglobal optimization |
| spellingShingle | Ioannis G. Tsoulos V. N. Stavrou Numerical Algorithms in III–V Semiconductor Heterostructures Algorithms solid state physics neural networks genetic algorithms particle swarm optimization global optimization |
| title | Numerical Algorithms in III–V Semiconductor Heterostructures |
| title_full | Numerical Algorithms in III–V Semiconductor Heterostructures |
| title_fullStr | Numerical Algorithms in III–V Semiconductor Heterostructures |
| title_full_unstemmed | Numerical Algorithms in III–V Semiconductor Heterostructures |
| title_short | Numerical Algorithms in III–V Semiconductor Heterostructures |
| title_sort | numerical algorithms in iii v semiconductor heterostructures |
| topic | solid state physics neural networks genetic algorithms particle swarm optimization global optimization |
| url | https://www.mdpi.com/1999-4893/17/1/44 |
| work_keys_str_mv | AT ioannisgtsoulos numericalalgorithmsiniiivsemiconductorheterostructures AT vnstavrou numericalalgorithmsiniiivsemiconductorheterostructures |