Machine learning approach for predicting electrical features of Schottky structures with graphene and ZnTiO3 nanostructures doped in PVP interfacial layer

Abstract 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 pa...

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Bibliographic Details
Main Authors: Ali Barkhordari, Hamid Reza Mashayekhi, Pari Amiri, Süleyman Özçelik, Şemsettin Altındal, Yashar Azizian-Kalandaragh
Format: Article
Language:English
Published: Nature Portfolio 2023-08-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-023-41000-z