Barkhordari, A. Et Al. 2023. Machine learning approach for predicting electrical features of Schottky structures with graphene and ZnTiO3 nanostructures doped in PVP interfacial layer. Scientific Reports , vol.13, no.1 .

Barkhordari, A., Mashayekhi, H. R., Amiri, P., ÖZÇELİK, S., ALTINDAL, Ş., & Azizian-Kalandaragh, Y., (2023). Machine learning approach for predicting electrical features of Schottky structures with graphene and ZnTiO3 nanostructures doped in PVP interfacial layer. Scientific Reports , vol.13, no.1.

Barkhordari, Ali Et Al. "Machine learning approach for predicting electrical features of Schottky structures with graphene and ZnTiO3 nanostructures doped in PVP interfacial layer," Scientific Reports , vol.13, no.1, 2023

Barkhordari, Ali Et Al. "Machine learning approach for predicting electrical features of Schottky structures with graphene and ZnTiO3 nanostructures doped in PVP interfacial layer." Scientific Reports , vol.13, no.1, 2023

Barkhordari, A. Et Al. (2023) . "Machine learning approach for predicting electrical features of Schottky structures with graphene and ZnTiO3 nanostructures doped in PVP interfacial layer." Scientific Reports , vol.13, no.1.

@article{article, author={Ali Barkhordari Et Al. }, title={Machine learning approach for predicting electrical features of Schottky structures with graphene and ZnTiO3 nanostructures doped in PVP interfacial layer}, journal={Scientific Reports}, year=2023}