In this paper, we grew the vanadium-doped nickel nitride porous nanosheet arrays supported on NF, V-Ni₃N/NF, which displays efficient catalytic performance for urea electrolysis with energy-saving H₂production.

Rechargeable aqueous zinc‐ion batteries (ZIBs) have been considered as a promising candidate for the large‐scale energy storage device owing to their low cost and high safety. However, the practical application of aqueous ZIBs at low temperature environment is hindered by the freezing aqueous electrolytes, which leads to a sharp drop in ionic conductivity, and thereby a rapid deterioration of battery performance. Herein, a chaotropic salt electrolyte based on low concentration aqueous Zn(ClO₄)₂ with superior ionic conductivity under low temperature (4.23 mS/cm at −50°C) is reported. The anti‐freezing methodology introduced here is completely different from conventional freeze‐resistant design of using “water‐in‐salt” electrolyte, cosolvents, or anti‐freezing agent additives strategy. Experimental analysis and molecular dynamics simulations reveal that the as‐prepared Zn(ClO₄)₂ electrolyte possesses faster ionic migration compared with other commonly used Zn‐based salts (i.e., Zn(CF₃SO₃)₂ and ZnSO₄) electrolyte. It is found that Zn(ClO₄)₂ electrolyte can suppress the ice crystal construction by forming more hydrogen bonds between solute ClO₄⁻ and solvent H₂O molecules, thus leading to a superior anti‐freezing property. The fabricated ZIBs using this aqueous electrolyte exhibits a dramatically enhanced specific capacity, remarkable rate capability, and great cycling stability over a wide temperature range, from −50 to 25°C. The aqueous ZIBs also exhibit an outstanding energy density of 238.4 Wh/kg without compromising the power density (7.9 kW/kg) under −20°C. Moreover, the assembled aqueous ZIBs can also cycle stably over 1000 cycles at an ultra‐low −50°C. The high‐safety and cost‐effective chaotropic salt electrolyte presented here is a promising strategy for low temperature energy storage application. image

A hierarchically nanoscale Ni/NiO/RGO hybrid has been derived by a facile, green and self-assembled sol–gel way combined with thermal treatment in N ₂ , giving a high performance super-capacitor with ultrahigh and stable specific capacitance.

In recent decades, more than 100,000 scientific articles have been devoted to the development of electrode materials for supercapacitors and batteries. However, there is still intense debate surrounding the criteria for determining the electrochemical behavior involved in Faradaic reactions, as the issue is often complicated by the electrochemical signals produced by various electrode materials and their different physicochemical properties. The difficulty lies in the inability to determine which electrode type (battery vs. pseudocapacitor) these materials belong to via simple binary classification. To overcome this difficulty, we apply supervised machine learning for image classification to electrochemical shape analysis (over 5500 Cyclic Voltammetry curves and 2900 Galvanostatic Charge-Discharge curves), with the predicted confidence percentage reflecting the shape trend of the curve and thus defined as a manufacturer. It’s called “capacitive tendency”. This predictor not only transcends the limitations of human-based classification but also provides statistical trends regarding electrochemical behavior. Of note, and of particular importance to the electrochemical energy storage community, which publishes over a hundred articles per week, we have created an online tool to easily categorize their data.