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Novel octanuclear copper(I) clusters [Cu8{(N)-(?4-S)}4(?3-I)2I2(PPh3)2] produced via reductive S-S bond cleavage of disulfide Schiff base ligands and their use as efficient heterogeneous catalysts in CuAAC click reaction
Novel octanuclear copper(I) clusters [Cu8{(N)-(?4-S)}4(?3-I)2I2(PPh3)2] produced via reductive S-S bond cleavage of disulfide Schiff base ligands and their use as efficient heterogeneous catalysts in CuAAC click reaction
Relationship between subsurface stress and wear particle size in sliding contacts during running-in
Proximate and elemental analysis of solid recovered fuel, its comparison with existing fossil fuels in terms of physical characteristics and economic benefits
Grain boundary engineering in roll-bonded copper to overcome the strength-ductility dilemma
Comparison of physical, mechanical and biological effects of leucocyte-PRF and advanced-PRF on polyacrylamide nanofiber wound dressings: In vitro and in vivo evaluations
Microstructural investigation of an Al-Cu lamellar nanocomposite produced by accumulative roll bonding process under the heat treatment condition: an analytical, experimental, and finite element study
Effects of Annealing on the Fabrication of Al-TiAl3 Nanocomposites Before and After Accumulative Roll Bonding and Evaluation of Strengthening Mechanisms
Effects of Annealing on the Fabrication of Al-TiAl3 Nanocomposites Before and After Accumulative Roll Bonding and Evaluation of Strengthening Mechanisms
Effects of groove angle and pattern on CFRP-to-concrete bond behavior of EBROG joints: Comparison of diagonal with longitudinal and transverse grooves
Empirical Expression for Failure Strain in EBROG-Bonded FRP-Concrete Joints
Bond behavior of FRP composites attached to concrete using EBROG method: A state-of-the-art review
Hybrid additive manufacturing of an electron beam powder bed fused Ti6Al4V by transient liquid phase bonding
Comparison of Different Machine Learning Methods for Predicting Cation Exchange Capacity Using Environmental and Remote Sensing Data
Comparison of Different Machine Learning Methods for Predicting Cation Exchange Capacity Using Environmental and Remote Sensing Data