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Institution

Bu-Ali Sina University

EducationHamadan, Hamadān, Iran
About: Bu-Ali Sina University is a education organization based out in Hamadan, Hamadān, Iran. It is known for research contribution in the topics: Catalysis & Adsorption. The organization has 4078 authors who have published 7969 publications receiving 122828 citations.


Papers
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Journal ArticleDOI
TL;DR: In this paper, a GO/Fe 3 O 4 /Pd nanocomposite has been prepared via a simple method and its catalytic activity has been tested for the reduction of 4-nitrophenol (4-NP), Methyl Orange (MO, Methylene blue (MB) and Congo red (CR) in the presence of NaBH 4 in aqueous medium at room temperature.
Abstract: In this work, GO/Fe 3 O 4 /Pd nanocomposite has been prepared via a simple method and its catalytic activity has been tested for the reduction of 4-nitrophenol (4-NP), Methyl Orange (MO), Methylene blue (MB) and Congo red (CR) in the presence of NaBH 4 in aqueous medium at room temperature. X-ray diffraction (XRD), Scanning electron microscopy (SEM), energy dispersive X-ray spectroscopy (EDS), transmission electron microscopy (TEM) and Fourier transform infrared spectroscopy (FT-IR) were employed to characterize the morphology and composition of GO/Fe 3 O 4 /Pd nanocomposite. Furthermore, the catalyst can be recovered and recycled several times without significant losing of its activity in reduction process.

91 citations

Journal ArticleDOI
TL;DR: In this paper, a multi objective genetic algorithm for Chaboche model was used to improve both ratcheting prediction and hysteresis loop model for biaxial loading histories.

91 citations

Journal ArticleDOI
TL;DR: In this article, an efficient method for the preparation of 1-substituted 1H-1,2,3,4-tetrazoles is reported using Natrolite zeolite as a natural and heterogeneous catalyst under solvent-free conditions.

91 citations

Journal ArticleDOI
TL;DR: In this paper, the authors consider 193 high-quality disk galaxies and, using Bayesian inference, show that the probability of existence of a fundamental acceleration is essentially 0: the null hypothesis is rejected at more than 10σ.
Abstract: Dark matter is currently one of the main mysteries of the Universe. There is much strong indirect evidence that supports its existence, but there is yet no sign of a direct detection1–3. Moreover, at the scale of galaxies, there is tension between the theoretically expected dark matter distribution and its indirectly observed distribution4–7. Therefore, phenomena associated with dark matter have a chance of serving as a window towards new physics. The radial acceleration relation8,9 confirms that a non-trivial acceleration scale a0 can be found from the internal dynamics of several galaxies. The existence of such a scale is not obvious as far as the standard cosmological model is concerned10,11, and it has been interpreted as a possible sign of modified gravity12,13. Here, we consider 193 high-quality disk galaxies and, using Bayesian inference, show that the probability of existence of a fundamental acceleration is essentially 0: the null hypothesis is rejected at more than 10σ. We conclude that a0 is of emergent nature. In particular, the modified Newtonian dynamics theory14–17—a well-known alternative to dark matter based on the existence of a fundamental acceleration scale—or any other theory that behaves like it at galactic scales, is ruled out as a fundamental theory for galaxies at more than 10σ. By studying the properties of almost 200 disk galaxies, it is shown that modified Newtonian dynamics (MOND), or MOND-like alternative theories of gravity based on the existence of a fundamental acceleration scale, are ruled out as fundamental theories for galaxies at more than 10σ.

91 citations

Journal ArticleDOI
TL;DR: In this paper, the preparation of superhydrophobic and superoleophilic steel mesh covered with nanostructured organic film for oil and organic solvents collection from water surface is reported.

91 citations


Authors

Showing all 4110 results

NameH-indexPapersCitations
Ali Mohammadi106114954596
Michael D. Ward9582336892
Rafael Luque8069328395
Mohammad Mehdi Rashidi7337915715
Domenico Otranto6863418523
Mahmoud Nasrollahzadeh6431410585
Mohammad Hossein Ahmadi6047711659
Mohammad Ali Zolfigol5676514878
Abbas Afkhami5436011928
Harry Adams5455712696
Hojat Veisi532827329
Nasser Iranpoor513728052
Mohammad Norouzi5115918934
Ali Akbar Saboury4852211098
Shadpour Mallakpour4887214432
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202311
202268
2021721
2020779
2019631
2018641