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Evaluation of graphene transparent coating on copper for color and oxidation control at low temperatures
Evaluation of graphene transparent coating on copper for color and oxidation control at low temperatures
Dynamic recrystallization behavior of the equiatomic FeCoCrNi high-entropy alloy during high temperature deformation
Dynamic recrystallization behavior of the equiatomic FeCoCrNi high-entropy alloy during high temperature deformation
Finite element implementation based on explicit, Galerkin and Crank-Nicolson methods to phase field theory for thermal- and surface- induced martensitic phase transformations
Optimal control of linear fractional-order delay systems with a piecewise constant order based on a generalized fractional Chebyshev basis
Effect of praseodymium in cation distribution, and temperature-dependent magnetic response of cobalt spinel ferrite nanoparticles
Predicting the Effect of Temperature Changes on Reference Evapotranspiration by Means of Time Series Modeling (Case Study: Khorramabad Basin)
Distributed formation tracking control of a multi-quadrotor system based on sliding mode and a rate bounded PID controller in the presence of internal perturbation and external disturbance
Distributed formation tracking control of a multi-quadrotor system based on sliding mode and a rate bounded PID controller in the presence of internal perturbation and external disturbance
Development of a colorimetric sensor array based on monometallic and bimetallic nanoparticles for discrimination of triazole fungicides
Investigation on total phenolic content, antioxidant activity, and emulsifying capacity of sodium alginate from Nizimuddinia zanardini during microwave-assisted extraction; optimization and statistical modeling
Investigation on total phenolic content, antioxidant activity, and emulsifying capacity of sodium alginate from Nizimuddinia zanardini during microwave-assisted extraction; optimization and statistical modeling
Magnetic-MXene-based nanocomposites for water and wastewater treatment: A review
Compressed Machine Learning-Based Inverse Model for Design Optimization of Microwave Components
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