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Machine learning approach for predicting electrical features of Schottky structures with graphene and ZnTiO(3) nanostructures doped in PVP interfacial layer
In this research, for some different Schottky type structures with and without a nanocomposite interfacial layer, the current–voltage (I–V) characteristics have been investigated by using different Machine Learning (ML) algorithms to predict and analyze the structures’ principal electric parameters...
Autores principales: | Barkhordari, Ali, Mashayekhi, Hamid Reza, Amiri, Pari, Özçelik, Süleyman, Altındal, Şemsettin, Azizian-Kalandaragh, Yashar |
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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/PMC10444853/ https://www.ncbi.nlm.nih.gov/pubmed/37607982 http://dx.doi.org/10.1038/s41598-023-41000-z |
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