M
Mohammad Hossein Keshavarz
Researcher at Malek-Ashtar University of Technology
Publications - 309
Citations - 5182
Mohammad Hossein Keshavarz is an academic researcher from Malek-Ashtar University of Technology. The author has contributed to research in topics: Detonation & Explosive material. The author has an hindex of 31, co-authored 288 publications receiving 4436 citations. Previous affiliations of Mohammad Hossein Keshavarz include K.N.Toosi University of Technology & Shiraz University of Medical Sciences.
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Nanoparticles of zinc sulfide doped with manganese, nickel and copper as nanophotocatalyst in the degradation of organic dyes
TL;DR: Nanoparticles of zinc sulfide as undoped and doped with manganese, nickel and copper were used as photocatalyst in the photodegradation of methylene blue and safranin as color pollutants and it was seen that 150.0 mg/L of photocatacyst is an optimum value for the dosage of photoc atalyst.
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An empirical method for predicting detonation pressure of chnofcl explosives
TL;DR: In this article, a new method for predicting the Chapman-Jouguet detonation pressures of CHNOFCl explosives using the heat of detonation, Qdet, α, and the average molecular weight of gaseous products, M. The equation has the form: PCJ=15.88α(MQdet)1/2ρ02−11.17.
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Investigation of the Various Structure Parameters for Predicting Impact Sensitivity of Energetic Molecules via Artificial Neural Network
TL;DR: In this paper, a generalized approach for predicting impact sensitivity of any explosives by using artificial neural networks was proposed, and the reliability of the proposed model was assessed by comparing the results against measured values as well as five models of complicated quantum mechanical computed values of 14 CHNO explosives.
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Photocatalytic activity of mixture of ZrO2/SnO2, ZrO2/CeO2 and SnO2/CeO2 nanoparticles
TL;DR: In this article, the photocatalytic activity of ZrO2, SnO2 and CeO2 nanoparticles was characterized by X-ray diffraction spectroscopy, transmission electron microscopy and IR spectrophotometry.
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Simple empirical method for prediction of impact sensitivity of selected class of explosives.
TL;DR: Some simple correlations for prediction of impact sensitivity of C(a)H(b)N(c)O(d) explosives using a, b, c, d, molecular weight and structure information of the explosive are introduced.