Structure-led manifestation of photocatalytic activity in magnetically recoverable spinel CuFeOnanoparticles and its application in degradation of industrial effluent dyes under solar light.

An efficient removal of the photocatalysts used in the decontamination of water is crucial after its application beside its expected visible light sensitive activities. This study presents the synthesis of magnetically separable CuFeOnanoparticles (CFNPs) with enhanced photoactivity under AM 1.5 G sunlight.

Exploring the Possibility of Machine Learning for Predicting Ionic Conductivity of Solid-State Electrolytes.

Unlike conventional liquid electrolytes, solid-state electrolytes (SSEs) have gained increased attention in the domain of all-solid-state lithium-ion batteries (ASSBs) due to their safety features, higher energy/power density, better electrochemical stability, and a broader electrochemical window. SSEs, however, face several difficulties, such as poorer ionic conductivity, complicated interfaces, and unstable physical characteristics. Vast research is still needed to find compatible and appropriate SSEs with improved properties for ASSBs.