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Simultaneous determination of adenine and guanine using Pt-Pd/porous silicon nanocomposite modified carbon nanotubes paste electrode
Simultaneous determination of adenine and guanine using Pt-Pd/porous silicon nanocomposite modified carbon nanotubes paste electrode
Fabrication, characterisation and investigation of zirconium oxide corrosion behaviour on resistance of zirconium oxide nanotubes in artificial saliva as biological environment
High strength and conductivity: Functional gradient design in reduced graphene oxide + carbon nanotube hybrid Al nanolaminated composites
Refereed Journal Papers
Dr. Mehdi Mahdavi
Risk analysis of inflow to the Zayandehrud Dam under historical and future scenarios using reliability, resiliency, and vulnerability indicators: a comparative study of the runoff risk index and runoff risk ranking methods
Risk analysis of inflow to the Zayandehrud Dam under historical and future scenarios using reliability, resiliency, and vulnerability indicators: a comparative study of the runoff risk index and runoff risk ranking methods
Risk analysis of inflow to the Zayandehrud Dam under historical and future scenarios using reliability, resiliency, and vulnerability indicators: a comparative study of the runoff risk index and runoff risk ranking methods
Application feasibility of palladium-decorated reduced graphene oxide as a CH4 gas nano-sensor from the perspective of the van der Waals corrected DFT computations
Stabilization of DOPA Zwitterions on Laser-Generated Gold Nanoparticles ONIOM Computational Study of the Charge-Dependent Structural and Electronic Changes of DOPA Adsorbed on the Gold Nanosurface
Stabilization of DOPA Zwitterions on Laser-Generated Gold Nanoparticles ONIOM Computational Study of the Charge-Dependent Structural and Electronic Changes of DOPA Adsorbed on the Gold Nanosurface
Determination of length scale parameters of strain gradient continuum theory for crystalline solids using a computational quantum mechanical model based on density functional theory
A novel approach to design and fabricate foams with optimized fluid flow in porous media by combining the methods of computational fluid dynamics, machine learning and additive manufacturing
A novel approach to design and fabricate foams with optimized fluid flow in porous media by combining the methods of computational fluid dynamics, machine learning and additive manufacturing