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Estimating uniaxial compressive strength of carbonate building stones based on some intact stone properties after deterioration by freeze-thaw
Prediction of solubility for polycyclic aromatic hydrocarbons in supercritical carbon dioxide using wavelet neural networks in quantitative structure property relationship
Immobilization of copper(<scp>i</scp>) oxide nanoparticles on porous carbon derived from a zeolitic imidazolate framework and investigation of their photocatalytic properties
Immobilization of copper(<scp>i</scp>) oxide nanoparticles on porous carbon derived from a zeolitic imidazolate framework and investigation of their photocatalytic properties
Investigation of wear resistance of drill bits with WC, Diamond-DLC, and TiAlSi coatings with respect to mechanical properties of rock
The influence of polycaporolacton fumarate coating on mechanical properties and in vitro behavior of porous diopside-hardystonite nano-composite scaffold
Investigation of wear resistance of drill bits with WC, Diamond-DLC, and TiAlSi coatings with respect to mechanical properties of rock
Effects of Different Fibers and Cement Substituting Minerals on Mechanical Properties of Ultra-High-Performance Fiber-Reinforced Concrete
Effects of Different Fibers and Cement Substituting Minerals on Mechanical Properties of Ultra-High-Performance Fiber-Reinforced Concrete
Influence of Melt Infiltration Parameters on Structural and Mechanical Properties of Al-4.3wt.%Cu-EP Syntactic Foam
Enhanced mechanical and corrosion properties of cold-rolled CoCrFeMoNi high-entropy alloy, as a proposed material for vascular stents
Enhanced mechanical and corrosion properties of cold-rolled CoCrFeMoNi high-entropy alloy, as a proposed material for vascular stents
Microstructure and Mechanical Properties of Service-Exposed HP-MA Heat-Resistant Steel Tube, Used in Cracking Furnaces
Microstructure and Mechanical Properties of Service-Exposed HP-MA Heat-Resistant Steel Tube, Used in Cracking Furnaces
First Principles Multiscale Modeling of Mechanical Properties in Graphene/Borophene Heterostructures Empowered by Machine Learning Interatomic Potentials