Application of Neural Networks to Analyze Semiconductor Luminescence Spectra
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DROTENKO, Valery, TABAN, Anton, LIPADAT, Yaroslav, CHUKITA, V., VORONOV, Alexander, POGREBNAYA, Alexandra. Application of Neural Networks to Analyze Semiconductor Luminescence Spectra. In: Conference of Young Researchers in Electrical and Electronic Engineering: ElCon 2024, Ed. 1, 29-30 ianuarie 2024, St. Petersburg. New Jersey: Institute of Electrical and Electronics Engineers Inc., 2024, pp. 884-888. ISBN 979-835036064-6. DOI: https://doi.org/10.1109/ElCon61730.2024.10468150
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Conference of Young Researchers in Electrical and Electronic Engineering 2024
Conferința "Proceedings of the 2024 Conference of Young Researchers in Electrical and Electronic Engineering"
1, St. Petersburg, Rusia, 29-30 ianuarie 2024

Application of Neural Networks to Analyze Semiconductor Luminescence Spectra

DOI:https://doi.org/10.1109/ElCon61730.2024.10468150

Pag. 884-888

Drotenko Valery1, Taban Anton2, Lipadat Yaroslav2, Chukita V.2, Voronov Alexander2, Pogrebnaya Alexandra2
 
1 Moscow Institute of Electronic Technology (National Research University of Electronic Technology (MIET)),
2 T.G. Shevchenko State University of Pridnestrovie, Tiraspol
 
 
Disponibil în IBN: 22 aprilie 2024


Rezumat

A new method of analysing semiconductor luminescence spectra based on the use of neural networks is proposed. It is found that it is superior in accuracy to the previously known methods and successfully copes with the processing and analysis of noisy spectra. 

Cuvinte-cheie
forbidden band width (Eg), inverse problem, Neural networks, semiconductor luminescence