F. Şahin Et Al. , "From experimental data to predictions: Artificial intelligence supported new mathematical approaches for estimating thermal conductivity, viscosity and zeta potential in Fe3O4-water magnetic nanofluids," Powder Technology , vol.430, 2023
Şahin, F. Et Al. 2023. From experimental data to predictions: Artificial intelligence supported new mathematical approaches for estimating thermal conductivity, viscosity and zeta potential in Fe3O4-water magnetic nanofluids. Powder Technology , vol.430 .
Şahin, F., Genc, O., Gökcek, M., & Çolak, A. B., (2023). From experimental data to predictions: Artificial intelligence supported new mathematical approaches for estimating thermal conductivity, viscosity and zeta potential in Fe3O4-water magnetic nanofluids. Powder Technology , vol.430.
Şahin, Fevzi Et Al. "From experimental data to predictions: Artificial intelligence supported new mathematical approaches for estimating thermal conductivity, viscosity and zeta potential in Fe3O4-water magnetic nanofluids," Powder Technology , vol.430, 2023
Şahin, Fevzi Et Al. "From experimental data to predictions: Artificial intelligence supported new mathematical approaches for estimating thermal conductivity, viscosity and zeta potential in Fe3O4-water magnetic nanofluids." Powder Technology , vol.430, 2023
Şahin, F. Et Al. (2023) . "From experimental data to predictions: Artificial intelligence supported new mathematical approaches for estimating thermal conductivity, viscosity and zeta potential in Fe3O4-water magnetic nanofluids." Powder Technology , vol.430.
@article{article, author={Fevzi Şahin Et Al. }, title={From experimental data to predictions: Artificial intelligence supported new mathematical approaches for estimating thermal conductivity, viscosity and zeta potential in Fe3O4-water magnetic nanofluids}, journal={Powder Technology}, year=2023}