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Structuring Ru nanoparticles on magnetic nitrogen doped carbon induces excellent photocatalytic activity for oxidation of alcohols under visible light
Hybrid micro-composite sheets of Polylactic Acid (PLA)/Carbon Black (CB)/natural kenaf fiber processed by calendering method
High performance polymeric bipolar plate based on polypropylene/graphite/graphene/nano-carbon black composites for PEM fuel cells
High performance polymeric bipolar plate based on polypropylene/graphite/graphene/nano-carbon black composites for PEM fuel cells
Prediction of solubility for polycyclic aromatic hydrocarbons in supercritical carbon dioxide using wavelet neural networks in quantitative structure property relationship
Influence of force variations in skin pass rolling on texture and surface reactivity of hot-dip galvanized low carbon steel sheets
Influence of force variations in skin pass rolling on texture and surface reactivity of hot-dip galvanized low carbon steel sheets
the effect of surface modification of (micro/nano)-calcium carbonate particles at various ratios on mechanical properties of poly(vinyl chloride) composites
the effect of surface modification of (micro/nano)-calcium carbonate particles at various ratios on mechanical properties of poly(vinyl chloride) composites
Post combustion carbon capture Does optimization of the processing system based on energy and utility requirements warrant the lowest possible costs
Effect of carbon black and silica fume on mechanical and thermal properties of high-density polyethylene films used for water transport pipes
Effect of carbon black and silica fume on mechanical and thermal properties of high-density polyethylene films used for water transport pipes
Wavelet neural network modeling in QSPR for prediction of solubility of 25 anthraquinone dyes at different temperatures and pressures in supercritical carbon dioxide
Wavelet neural network modeling in QSPR for prediction of solubility of 25 anthraquinone dyes at different temperatures and pressures in supercritical carbon dioxide
Comparing artificial neural network and multivariate linear regression models to predict soil organic carbon using digital terrain attributes