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