Machine learning models for efficient characterization of Schottky barrier photodiode internal parameters

We propose ANN-based models to analyze and extract the internal parameters of a Schottky photodiode (SPD) without presenting them with any knowledge of the highly nonlinear thermionic emission (TE) expression of the device current. We train, evaluate and demonstrate the ML models on thirty-six priva...

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Detalles Bibliográficos
Autores principales: Ocaya, Richard O., Akinyelu, Andronicus A., Al-Sehemi, Abdullah G., Dere, Ayşegul, Al-Ghamdi, Ahmed A., Yakuphanoğlu, Fahrettin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10460433/
https://www.ncbi.nlm.nih.gov/pubmed/37633987
http://dx.doi.org/10.1038/s41598-023-41111-7

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10460433/
https://www.ncbi.nlm.nih.gov/pubmed/37633987
http://dx.doi.org/10.1038/s41598-023-41111-7

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