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Predicting hydrogen production in porous foams for steam methane reforming: A combined approach using computational fluid dynamics and machine learning regression models
Predicting hydrogen production in porous foams for steam methane reforming: A combined approach using computational fluid dynamics and machine learning regression models
A novel optimized fuzzy approach based on monte carlo method for system load, wind turbine and photovoltaic unit uncertainty modeling in unit commitment
Advanced Thermodynamic of Chemical Engineering
Students
Doktorsafaei,Hamid
A practical methodology for optimum seismic design of RC frames for minimum damage and life-cycle cost
Experimental and numerical study on stiffness and damage of glass/epoxy biaxial weft-knitted reinforced composites
Experimental and numerical study on stiffness and damage of glass/epoxy biaxial weft-knitted reinforced composites
Damage Micromechanisms in Friction Stir-Welded DP600 Steel during Uniaxial Tensile Deformation
Damage Micromechanisms in Friction Stir-Welded DP600 Steel during Uniaxial Tensile Deformation
Damage Micromechanisms in Friction Stir-Welded DP600 Steel during Uniaxial Tensile Deformation
Predicting the wear coefficient and friction coefficient in dry point contact using continuum damage mechanics
Assessment of Flood Damage on Humans Infrastructure and Agriculture in Ghamsar Watershed Using HEC-FIA Software
Damage tolerant design of cast components based on defects detected by 3D X-ray computed tomography