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Isfahan University of Technology
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On the implications of Si3N4 nanoparticle addition for the structural, mechanical, and biomedical properties of 3D-printed polycaprolactone (PCL) scaffolds for bone tissue regeneration purposes
Enhancing the Mechanical Properties of Transient-Liquid-Phase Bonded Inconel 617 to Stainless Steel 310 through Altering Process Parameters and Homogenisation
PECVD-derived diamond-like carbon coatings for improved mechanical performance, biodegradation control, and in vitro behavior of AZ31 magnesium alloy
An evolutionary game theoretic approach to analysis of innovative behavior of tech firms and startups considering equity-based or non-equity-based mechanisms
On the implications of Si3N4 nanoparticle addition for the structural, mechanical, and biomedical properties of 3D-printed polycaprolactone (PCL) scaffolds for bone tissue regeneration purposes
The influence of precipitation on the microstructure, texture, and mechanical properties of high entropy FeNi1.5CrCu0.5 alloy following cold deformation and annealing
General mechanical analysis of bi-films using a novel Borchers' approach to the second law of thermodynamics and development to nonlocal viscoelasticity strain field
The influence of precipitation on the microstructure, texture, and mechanical properties of high entropy FeNi1.5CrCu0.5 alloy following cold deformation and annealing
Synthesis of (Ti, W, Mo) CN based cermets with different carbides configurations for demanding applications: Study of the crystal structure, microstructure, and mechanical properties
On the implications of Si3N4 nanoparticle addition for the structural, mechanical, and biomedical properties of 3D-printed polycaprolactone (PCL) scaffolds for bone tissue regeneration purposes
Synthesis of (Ti, W, Mo) CN based cermets with different carbides configurations for demanding applications: Study of the crystal structure, microstructure, and mechanical properties
Papers
Ahmad Rezaeian
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)
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تحت نظارت وف بومی