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Lithium-tellurium (Li-Te) batteries are gaining attention as a promising next-generation energy storage system due to their superior electrical conductivity and high volumetric capacity compared to sulfur and selenium. Tellurium's unique properties, such as suitable redox potential, excellent conductivity, high volumetric capacity, and greatest stability, position it as a strong candidate for negative electrode materials. This study explores the potential of metal tellurides, specifically CuTe and FeTe monolayers, as effective tellurium host materials, leveraging their polar interactions with lithium polytellurides.

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Developing high-energy-density lithium-sulfur batteries faces serious polysulfide shuttle effects and sluggish conversion kinetics, often necessitating the excessive use of electrolytes, which in turn adversely affects battery performance. Our study introduces a meticulously designed electrocatalyst, Cu-CeO@N/C, to enhance lean-electrolyte lithium-sulfur battery performance. This catalyst, featuring in situ synthesized Cu clusters, regulates oxygen vacancies in CeO and forms Cu-CeO heterojunctions, thereby diminishing sulfur conversion barriers and hastening reaction kinetics through the generation of S/S intermediates.

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Biomimetic calcification is a micro-crystallization process that mimics the natural biomineralization process, where biomacromolecules regulate the formation of inorganic minerals. In this study, it is presented that a protein-assisted biomimetic calcification method for the in situ synthesis of nitrogen-doped metal-organic framework (MOF) materials. A series of unique core-shell structures are created by utilizing proteins as templates and guiding agents in the nucleation step, creating ideal conditions for shell growth.

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This paper proposes a hybrid algorithm combining the symmetrized dot pattern (SDP) method and a convolutional neural network (CNN) for fault detection in lithium battery modules. The study focuses on four fault types: overcharge, over-discharge, aging, and leakage caused by manual perforation. An 80.

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Surface Hydrophilic Modification of Polypropylene by Nanosecond Pulsed Ar/O Dielectric Barrier Discharge.

Materials (Basel)

December 2024

College of Electrical Engineering and Control Science, Nanjing Tech University, Nanjing 211816, China.

Polypropylene (PP) membranes have found diverse applications, such as in wastewater treatment, lithium-ion batteries, and pharmaceuticals, due to their low cost, excellent mechanical properties, thermal stability, and chemical resistance. However, the intrinsic hydrophobicity of PP materials leads to membrane fouling and filtration flux reduction, which greatly hinders the applications of PP membranes. Dielectric barrier discharge (DBD) is an effective technique for surface modification of materials because it generates a large area of low-temperature plasma at atmospheric pressure.

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