F. SELİMEFENDİGİL And H. F. Öztop, "Impacts of magnetic field and hybrid nanoparticles in the heat transfer fluid on the thermal performance of phase change material installed energy storage system and predictive modeling with artificial neural networks," Journal of Energy Storage , vol.32, 2020
SELİMEFENDİGİL, F. And Öztop, H. F. 2020. Impacts of magnetic field and hybrid nanoparticles in the heat transfer fluid on the thermal performance of phase change material installed energy storage system and predictive modeling with artificial neural networks. Journal of Energy Storage , vol.32 .
SELİMEFENDİGİL, F., & Öztop, H. F., (2020). Impacts of magnetic field and hybrid nanoparticles in the heat transfer fluid on the thermal performance of phase change material installed energy storage system and predictive modeling with artificial neural networks. Journal of Energy Storage , vol.32.
SELİMEFENDİGİL, FATİH, And Hakan F. Öztop. "Impacts of magnetic field and hybrid nanoparticles in the heat transfer fluid on the thermal performance of phase change material installed energy storage system and predictive modeling with artificial neural networks," Journal of Energy Storage , vol.32, 2020
SELİMEFENDİGİL, FATİH And Öztop, Hakan F. . "Impacts of magnetic field and hybrid nanoparticles in the heat transfer fluid on the thermal performance of phase change material installed energy storage system and predictive modeling with artificial neural networks." Journal of Energy Storage , vol.32, 2020
SELİMEFENDİGİL, F. And Öztop, H. F. (2020) . "Impacts of magnetic field and hybrid nanoparticles in the heat transfer fluid on the thermal performance of phase change material installed energy storage system and predictive modeling with artificial neural networks." Journal of Energy Storage , vol.32.
@article{article, author={FATİH SELİMEFENDİGİL And author={Hakan F. Öztop}, title={Impacts of magnetic field and hybrid nanoparticles in the heat transfer fluid on the thermal performance of phase change material installed energy storage system and predictive modeling with artificial neural networks}, journal={Journal of Energy Storage}, year=2020}