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Institution

Islamic Azad University

EducationTehran, Iran
About: Islamic Azad University is a education organization based out in Tehran, Iran. It is known for research contribution in the topics: Population & Catalysis. The organization has 83635 authors who have published 113437 publications receiving 1275049 citations. The organization is also known as: Azad University.


Papers
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Journal ArticleDOI
TL;DR: In this paper, a specific type of zeolite, synthesized from coal fly ash, was used in batch adsorption experiments in order to adsorb Cd (II) ions from aqueous solution.

208 citations

Journal ArticleDOI
TL;DR: In this article, the effects of temperature and particles concentration on the dynamic viscosity of MgO-MWCNT/ethylene glycol hybrid nanofluid is examined.
Abstract: In this paper, the effects of temperature and particles concentration on the dynamic viscosity of MgO-MWCNT/ethylene glycol hybrid nanofluid is examined. The experiments carried out in the solid volume fraction range of 0 to 1.0% under the temperature ranging from 30 °C to 60 °C. The results showed that the hybrid nanofluid behaves as a Newtonian fluid for all solid volume fractions and temperatures considered. The measurements also indicated that the dynamic viscosity increases with increasing the solid volume fraction and decreases with the temperature rising. The relative viscosity revealed that when the solid volume fraction enhances from 0.1 to 1%, the dynamic viscosity increases up to 168%. Finally, using experimental data, in order to predict the dynamic viscosity of MgO-MWCNT/ethylene glycol hybrid nanofluids, a new correlation has been suggested. The comparisons between the correlation outputs and experimental results showed that the suggested correlation has an acceptable accuracy.

208 citations

Journal ArticleDOI
Vardan Khachatryan1, Albert M. Sirunyan1, Armen Tumasyan1, Wolfgang Adam  +2325 moreInstitutions (191)
TL;DR: In this paper, an upper bound on the branching fraction of the Higgs boson decay to invisible particles, as a function of the assumed production cross-sections, was established, and the results were also interpreted in the context of Higgs-portal dark matter models.
Abstract: Searches for invisible decays of the Higgs boson are presented. The data collected with the CMS detector at the LHC correspond to integrated luminosities of 5.1, 19.7, and 2.3 fb−1 at centre-of-mass energies of 7, 8, and 13 TeV, respectively. The search channels target Higgs boson production via gluon fusion, vector boson fusion, and in association with a vector boson. Upper limits are placed on the branching fraction of the Higgs boson decay to invisible particles, as a function of the assumed production cross sections. The combination of all channels, assuming standard model production, yields an observed (expected) upper limit on the invisible branching fraction of 0.24 (0.23) at the 95% confidence level. The results are also interpreted in the context of Higgs-portal dark matter models.

208 citations

Journal ArticleDOI
TL;DR: The applications of ANN methods, namely multilayer feedforward neural networks (MLFNN), support vector machine (SVM), and adaptive neuro fuzzy inference system (ANFIS) for adsorption of dyes are reviewed.

207 citations

Journal ArticleDOI
TL;DR: The synthesis, properties, and activity of CNC-Por (5) described herein serve as a benchmark toward the overall objectives of developing novel, potent, bioactive, photobactericidal materials that are effective against a range of bacteria, with potential utilization in the health care and food preparation industries.

207 citations


Authors

Showing all 83704 results

NameH-indexPapersCitations
Ajit Kumar Mohanty141112493062
Pierluigi Paolucci1381965105050
Eric Conte132120684593
Patrizia Azzi132127583686
D. Del Re131140687230
Jean-Laurent Agram128122184423
Seyed Mohsen Etesami128110176488
Jean-Charles Fontaine128119084011
Roberta Arcidiacono128132280917
Tejinder Virdee128120874372
Frank Hartmann127111681455
Paolo Azzurri126105881651
Achim Stahl1241248111121
Federica Primavera12087663895
Riccardo Andrea Manzoni12094667897
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202335
2022373
202111,539
202012,092
201911,011
201810,260