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...

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Detalles Bibliográficos
Autores principales: Barkhordari, Ali, Mashayekhi, Hamid Reza, Amiri, Pari, Özçelik, Süleyman, Altındal, Şemsettin, Azizian-Kalandaragh, Yashar
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/PMC10444853/
https://www.ncbi.nlm.nih.gov/pubmed/37607982
http://dx.doi.org/10.1038/s41598-023-41000-z

Internet

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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