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Performance prediction of a specific wear rate of epoxy nanocomposites with various composition content of Polytetrafluoroethylene(PTFE) graphite short carbon fibers (CF) and nano-TiO2 using adaptive neuro-fuzzy inference system (ANFIS)
Performance prediction of a specific wear rate of epoxy nanocomposites with various composition content of Polytetrafluoroethylene(PTFE) graphite short carbon fibers (CF) and nano-TiO2 using adaptive neuro-fuzzy inference system (ANFIS)
Dr. Tayebeh Behzad
Last News
Dr. Nasser Hamdami
Professor M. Gazor
Efficacy comparison of gels containing thymol, menthol, eucalyptus essential oil and thyme essential oil with a widely used acaricide, fluvalinate-impregnated strips, against Varroa mites (Varroa destructor) in honeybee colonies in spring treatment
synthesis and characterization of some novel optically active poly(amide-imide)s, poly(ester-imide)s and poly(hydrazide-imide)s incorporating aminoacids by solution polycondensation, interfacial polymerization using MW irradiation or in ionic liquid media
Teaching -Calculus-
N-Bromo Reagent Mediated Oxidation of Urazoles to Their Corresponding Triazolinediones under Mild and Heterogeneous Conditions
Conference Publications
Biography 36
VLSI Computer-Aided Design (CAD)
Venus Pasandi (PhD)
Engineering a TME-Responsive Hollow ZnzMnx-zOy-Based Nanoplatform for Cancer Theranostic Applications