1695 papers
This study utilizes Taguchi design and Grey Relational Analysis to optimize a sustainable thermal insulation brick formulation composed of kaolin, sawdust, and periwinkle shell ash, achieving a 77.4% reduction in thermal conductivity and a compressive strength of 7.83 MPa that exceeds construction standards.
This study rigorously evaluates an interpretable multimodal machine learning framework for predicting mechanical properties in 9% Cr steels, revealing that while it offers no statistically significant accuracy advantage over single-modality baselines under small-data conditions, it successfully identifies physically plausible composition–microstructure relationships and highlights critical limitations in uncertainty calibration.
This study demonstrates a post-print gold nanometallization strategy for 4D protein microstructures that significantly enhances mechanical robustness and suppresses fatigue while preserving pH-dependent actuation and enabling optical sensing, effectively decoupling geometric definition from inorganic functionalization.
By integrating a quaternary oxide support, Ca interfacial modifiers, and a high-entropy intermetallic alloy, researchers developed a catalyst that overcomes the stability–selectivity tradeoff in CO2-assisted oxidative dehydrogenation of propane, achieving doubled lifetime without compromising selectivity through synergistic multi-element design.
This paper presents a two-step ligand-exchange strategy to convert aqueous NiOₓ nanocrystals into nonpolar conductive inks, enabling high-performance, doping-free hole-selective contacts for n-i-p perovskite solar cells that outperform traditional Spiro-OMeTAD-based devices.
This study demonstrates that low-concentration nickel doping (specifically at x = 0.03) in ZnNiFe2O4 spinel nanoparticles induces a critical defect-rich mesoporous structure that simultaneously maximizes grain-boundary scattering to enhance magnetic coercivity and optimizes electrochemical charge storage, establishing a narrow compositional threshold for co-tuning multifunctional properties.
This study utilizes chemometric speciation modeling and pH-metric titrations to investigate the solution equilibria and stability of ternary nickel(II) and copper(II) complexes formed with azelaic acid dihydrazide and L-proline, providing insights into their potential applications in health, water purification, and green catalysis aligned with Sustainable Development Goals.
This study demonstrates that incorporating 20 wt% oil refinery waste catalyst (ECAT) into cement mortars significantly enhances mechanical strength and abrasion resistance, while developing accurate semi-empirical predictive models for both cement and alkali-activated material mixes to support sustainable construction practices.
This study demonstrates that quaternized agricultural waste peels from *Cucumis metuliferus* and *Aframomum melegueta* serve as highly effective, regenerable, and sustainable biosorbents for removing phenol from wastewater, achieving up to 95.95% removal efficiency through chemisorption mechanisms that outperform their raw counterparts.
This paper presents a quality-controlled, AI-assisted framework for extracting traceable mechanical property data from open-access scientific literature, demonstrating its application in a polypropylene case study where the system successfully generated candidate records while highlighting the challenges of reconstructing complete formulation-property relations compared to simple document retrieval.