Zobrazeno 1 - 10
of 25
pro vyhledávání: '"Sajjad Rashidi"'
Autor:
Ali Ahmadpour, Neda Jahanshahi, Sajjad Rashidi, Naser Chenarani, Mohammad Jaber Darabi Mahboub
Publikováno v:
Adsorption Science & Technology, Vol 32 (2014)
BET surface area and micropore volume are important factors for improving methane storage in activated carbons (ACs). Specification and optimization of carbon structures are vastly examined by different researchers. However, because of complex relati
Externí odkaz:
https://doaj.org/article/37da013020b8407f942af4c92eecf495
Autor:
Zahra Kayhomayoon, Mostafa Rahimi Jamnani, Sajjad Rashidi, Sami Ghordoyee Milan, Naser Arya Azar, Ronny Berndtsson
Publikováno v:
Agricultural Water Management. 285:108369
Publikováno v:
Materials Science and Engineering: C. 98:205-212
Magnetic nanoparticles that preferred for biomedical applications are required to be biocompatible, nanosized and superparamagnetic. In this research, ultra-small superparamagnetic Fe3O4 nanoparticles and novel superparamagnetic Fe3O4@ZnS core/shell
Autor:
Ahmad Amiri, Saeed Zeinali Heris, Salim Newaz Kazi, Sajjad Rashidi, Mehdi Shanbedi, Maryam Savari
Publikováno v:
Numerical Heat Transfer, Part A: Applications. 70:103-116
Adaptive Neuro-Fuzzy Inference System (ANFIS) opens a new gateway in understanding the complex behaviors and phenomena for different fields such as heat transfer in nanoparticles. The ANFIS method is a shortcut to find a nonlinear relation between in
Akademický článek
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Autor:
Masoud Rahimipanah, Saeed Zeinali Heris, Maryam Savari, Mehdi Shanbedi, Farshad Farzin, Zohreh Taghizadeh-Tabari, Ahmad Amiri, Sajjad Rashidi
Publikováno v:
Journal of Dispersion Science and Technology. 37:1277-1286
In order to enhance the thermal properties of turbine oil (TO), three different nanoparticles (CuO, Al2O3, and TiO2) are loaded into the TO. To measure the thermal performance of nanoparticle-based TO nanofluids at laminar flow and under constant hea
Publikováno v:
Materials scienceengineering. C, Materials for biological applications. 98
Magnetic nanoparticles that preferred for biomedical applications are required to be biocompatible, nanosized and superparamagnetic. In this research, ultra-small superparamagnetic Fe
Autor:
Ryan G. L. Koh, Md Asif Khan, Sajjad Rashidiani, Samah Hassan, Victoria Tucci, Theodore Liu, Karlo Nesovic, Dinesh Kumbhare, Thomas E. Doyle
Publikováno v:
IEEE Access, Vol 11, Pp 101567-101579 (2023)
Machine learning (ML) is a technique that learns to detect patterns and trends in data. However, the quality of reporting ML in research is often suboptimal, leading to inaccurate conclusions and hindering progress in the field, especially if dissemi
Externí odkaz:
https://doaj.org/article/2d61da8d88e44c83a243badebe623f15
Publikováno v:
Heat Transfer Engineering. 36:315-324
In this paper the Adaptive Neuro-Fuzzy Inference System (ANFIS) is used for the prediction of thermal efficiency and thermal resistance of a two-phase closed thermosyphon (TPCT). Aqueous suspensions of pristine multiwalled carbon nanotubes (CNTs) and