Dual-Induced Directed Deposition Mechanism Based on Anionic Surfactants Enables Long Cycle Aqueous Zinc Ion Batteries.

Aqueous zinc-ion battery has low cost, and environmental friendliness, emerging as a promising candidate for next-generation battery systems. However, it still suffers from a limited cycling life, caused by dendritic Zn growth and severe side reactions. Recent research highlights that the Zn (002) crystal plane exhibits superior anti-corrosive properties and a horizontal growth pattern.

MLFGCN: short-term residential load forecasting via graph attention temporal convolution network.

Introduction: Residential load forecasting is a challenging task due to the random fluctuations caused by complex correlations and individual differences. The existing short-term load forecasting models usually introduce external influencing factors such as climate and date. However, these additional information not only bring computational burden to the model, but also have uncertainty.

GMSA-Net: A Transmission Line Ice Thickness Identification Network Based on Global Micro Strip Awareness.

Ice-covered transmission lines seriously affect the normal operation of the power transmission system. Resonance deicing based on different ice thicknesses is an effective method to solve the issue of ice-covered transmission lines. In order to obtain accurate ice thickness of transmission lines, this paper designs an ice thickness of transmission line recognition model based on Global Micro Strip Awareness Net (GMSA-Net) and proposes a Mixed Strip Convolution Module (MSCM) and a global micro awareness module (GMAM).