Azam Marjani
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Explore the profile of Azam Marjani including associated specialties, affiliations and a list of published articles.
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Articles
61
Citations
283
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Recent Articles
11.
Babanezhad M, Zabihi S, Behroyan I, Nakhjiri A, Marjani A, Shirazian S
Sci Rep
. 2021 Jan;
11(1):2380.
PMID: 33504889
In this investigation, differential evolution (DE) algorithm with the fuzzy inference system (FIS) are combined and the DE algorithm is employed in FIS training process. Considered data in this study...
12.
Ghaforinejad H, Mazaheri H, Joshaghani A, Marjani A
PLoS One
. 2021 Jan;
16(1):e0245583.
PMID: 33481897
In this study, porous methacrylate-modified FDU-12/poly(methyl methacrylate) and amine-modified FDU-12/Nylon 6 nanocomposites were synthesized via a facile solution casting protocol. The physicochemical properties of the prepared materials were studied using...
13.
Pelalak R, Nakhjiri A, Marjani A, Rezakazemi M, Shirazian S
Sci Rep
. 2021 Jan;
11(1):1891.
PMID: 33479358
To understand impact of input and output parameters during optimization and degree of complexity, in the current study we numerically designed a bubble column reactor with a single sparger in...
14.
Pelalak R, Soltani R, Heidari Z, Malekshah R, Aallaei M, Marjani A, et al.
Sci Rep
. 2021 Jan;
11(1):1967.
PMID: 33479295
Experimental and computational works were carried out on a new type of mesoporous silica. In the experimental section, functionalized hollow mesosilica spheres were prepared via a facile technique and then...
15.
Danesh N, Ghorbani M, Marjani A
Sci Rep
. 2021 Jan;
11(1):1676.
PMID: 33462314
In this research, a novel nanocomposite adsorbent, graphene oxide modified with magnetite nanoparticles and Lauric acid containing ethylenediaminetetraacetic acid (GFLE) has been applied for the eliminate of Cu ions. Adsorption...
16.
Pelalak R, Heidari Z, Alizadeh R, Ghareshabani E, Nasseh N, Marjani A, et al.
J Hazard Mater
. 2021 Jan;
411:125074.
PMID: 33461011
High-performance novel iron oxyhydroxide (limonite) nanostructure, with improved surface reactive sites, was prepared via one-pot, eco-friendly, free precursor and cold glow discharge N-plasma technique. Natural and plasma treated (PTNL/N) limonite...
17.
Babanezhad M, Rezakazemi M, Marjani A, Shirazian S
ACS Omega
. 2021 Jan;
6(1):239-252.
PMID: 33458476
In predicting the turbulence property of gas (bubble) flow in the domain of continuous fluid and liquid, the integration of machine learning and computational fluid dynamics (CFD) methods reduces the...
18.
Soltani R, Pelalak R, Pishnamazi M, Marjani A, Albadarin A, Sarkar S, et al.
Sci Rep
. 2021 Jan;
11(1):1609.
PMID: 33452374
To date, many nanoadsorbents have been developed and used to eliminate heavy metal contamination, however, one of the challenges ahead is the preparation of adsorbents from processes in which toxic...
19.
Babanezhad M, Behroyan I, Nakhjiri A, Marjani A, Rezakazemi M, Heydarinasab A, et al.
Sci Rep
. 2021 Jan;
11(1):1505.
PMID: 33452362
Herein, a reactor of bubble column type with non-equilibrium thermal condition between air and water is mechanistically modeled and simulated by the CFD technique. Moreover, the combination of the adaptive...
20.
Babanezhad M, Behroyan I, Nakhjiri A, Rezakazemi M, Marjani A, Shirazian S
Sci Rep
. 2021 Jan;
11(1):1308.
PMID: 33446789
Computational fluid dynamics (CFD) simulating is a useful methodology for reduction of experiments and their associated costs. Although the CFD could predict all hydro-thermal parameters of fluid flows, the connections...