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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...
| Autores principales: | , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2023
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| Materias: | |
| 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 |