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In-situ differential pulse anodic stripping voltammetry combined with hollow fiber-based liquid-three phase micro extraction for determination of mercury using Au-nanoparticles sol-gel modified Pt-wire
Electric Double Layer Structure, Diffuse, and Zeta Potentials in Spherical Cationic and Anionic Liposomes: A Comparative Study of the Restricted Primitive Model and Solvent Restricted Primitive Model Using Classical Density Functional Theory
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بررسی ظرفیت جذب انرژی در کامپوزیت های تقویت شده با پارچه های حلقوی پودی سه بعدی
Synthesis and characterization of new polyureas derived from 4-(4′-Methoxyphenyl)urazole
Accuracy of real-time ultrasonography in Assessing Carcas Traits in Torki-ghashghaii Sheep
Machine learning and DSPM-DE assisted insights into resolving the flux–rejection trade-off in ZIF-67/ZIF-8 pH-responsive nanofiltration membranes
Regulatory frameworks for biomass remediation
محمدمهدي حسيني نژاد- Mohammadmehdi Hosseininezhad
The effect of bonding time on the microstructure and mechanical properties of dissimilar transient liquid phase bonding between UNS N08825 alloy and UNS S32750 super duplex stainless steel using the BNi-2 interlayer
The effect of bonding time on the microstructure and mechanical properties of dissimilar transient liquid phase bonding between UNS N08825 alloy and UNS S32750 super duplex stainless steel using the BNi-2 interlayer
Mazaheri, A., Cheraghi Seifabad, M., Mahdavi, S., & Dehghani, B. (2021). Seismic sensitivity analysis of rigidity and thickness of tunnel lining by using Ground_Structure interaction method case study: roudbar lorestan dam. Geotechnical and Geological Eng
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)