1645 papers
This study demonstrates that incorporating poly(9-vinylcarbazole) into epoxy shape memory polymers significantly enhances mechanical strength and reduces charge transfer resistance while maintaining shape memory functionality and exhibiting excellent biocompatibility, making the resulting composites promising candidates for biomedical applications.
This study characterizes chemically synthesized spherical cadmium sulfide nanoparticles (20 nm) and demonstrates their effectiveness in removing Ismate Violet 2R dye from aqueous solutions under optimal conditions of pH 7 and 180 minutes contact time, driven by electrostatic interactions.
Solution combustion-derived nanocrystalline anatase TiO2 serves as a versatile, recoverable multifunctional platform that effectively degrades organic dyes via photocatalysis and sensitively detects heavy metal ions through electrochemical sensing.
This study reports the facile fabrication of ternary MoO2/Fe2O3/CNFs nanofibers via electrospinning and carbonization, which exhibit superior electromagnetic wave absorption performance characterized by a minimum reflection loss of -40.90 dB and a broad effective bandwidth covering nearly the entire Ku band, driven by synergistic conductive and magnetic losses alongside optimal impedance matching.
This study reports the synthesis and characterization of hollow nanocapsules formed via the self-assembly of Bombyx mori chitosan and acrylic acid-modified β-cyclodextrin, demonstrating their efficacy as a sustained drug delivery system for furacilin with high encapsulation efficiency.
This study demonstrates that microalloying ASTM A216 cast steel with titanium refines its ferrite–pearlite microstructure, resulting in significantly improved hardness, wear resistance, and corrosion stability, thereby making it a promising candidate for fishing vessel stern tube applications.
This study demonstrates that introducing long-chain branching into poly(L-lactic acid) (PLLA) enhances the ductility and toughness of 3D-printed strands by inducing finer and denser crystalline morphologies, despite having a negligible effect on overall crystallization kinetics.
This study demonstrates that the Ca-modified HTCa8 catalyst, derived from Ni/Mg/Al hydrotalcite, exhibits superior stability, anti-sintering, and anti-coking performance with high methane and CO2 conversions for dry reforming of methane, attributed to its abundant mesoporous structure and minimal coke formation.
This study proposes an integrated machine-learning framework that extends a Group Contribution-based Graph Convolution Network to predict sigma-profiles for silicon-containing compounds, enabling accurate and computationally efficient thermodynamic property predictions via the COSMO-SAC model without requiring quantum-chemical calculations.
This paper presents and validates a structured, reproducible framework for generating uncertainty-aware standard reference thermophysical data within the Korean Thermophysical Properties Databank (KDB), which was successfully applied to process 82,488 literature data points into 2,363 vetted entries across six key properties.