1711 papers
This study presents a contactless photothermal-photocatalytic reactor that utilizes heat-induced evaporation to synchronize mass transfer, enabling efficient CO₂ reduction into formic acid using seawater or wastewater under full-spectrum irradiation.
This study demonstrates that a thermal plasma-assisted pyrolysis system effectively converts waste polypropylene into tunable yields of light olefins and hydrogen-rich gas by optimizing plasma parameters, thereby overcoming the low selectivity and efficiency limitations of conventional recycling methods.
This study demonstrates the eco-friendly biosynthesis of silver nanoparticles using a synergistic consortium of *Tetradesmus obliquus* and *Lagosinema tenuis*, characterizing their structural properties and confirming their significant antimicrobial, antioxidant, anti-inflammatory, and anti-diabetic potential.
This study demonstrates that functionalizing chrysin ligands in oxorhenium(V) complexes significantly influences their biological activity and plasma stability, yielding compounds with pronounced selectivity against ovarian and colorectal cancer cells while showing no direct correlation between precipitation behavior and cytotoxic potency.
This paper introduces SiTGen, a retrieval-augmented framework that leverages a large-scale in silico spectral library to enhance de novo molecular generation from tandem mass spectrometry data, achieving superior structural annotation accuracy and generalization compared to existing baselines.
This study demonstrates that low-temperature chemical bath deposition of nanosphere-structured CuIn(S,Se)₂ thin films with tunable Cu/In ratios yields optimized photoanodes featuring enhanced photoelectrochemical performance, including a peak short-circuit current density of 60 mA cm⁻², for efficient solar energy conversion.
This study presents a curated dataset of over 220 β-lactam derivatives with standardized molecular structures, physicochemical descriptors, and multiclass antimicrobial activity labels to facilitate the development and benchmarking of machine learning and deep learning models for predicting antimicrobial efficacy.
This study demonstrates that treating dentin with 0.5% functionalized graphene quantum dots enhances collagen preservation, increases crystallinity and stiffness, and stabilizes the adhesive-dentin interface by modulating biomineralization kinetics and the molecular microenvironment.
This study demonstrates that synthesizing Gd³⁺-substituted Ni₀.₇Zn₀.₃Fe₂O₄ ferrites via a sol-gel method yields spherical nanoparticles with a stable cubic spinel phase, an increased optical band gap, and enhanced soft magnetic characteristics with improved spin coherence.
This study demonstrates that contrary to expectations, a 1 M KOH electrolyte outperforms a mixed KCl/KOH electrolyte in Lawsone-based aqueous redox flow batteries by providing superior electrochemical kinetics and cycling stability, highlighting that the nature of the supporting electrolyte anion is a critical factor governing performance beyond just alkalinity.