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High‐entropy alloys (HEAs) are attracting increased attention as an alternative to noble metals for various catalytic reactions. However, it is of great challenge and fundamental importance to develop spatial HEA heterostructures to manipulate d‐band center of interfacial metal atoms and modulate electron–distribution to enhance electrocatalytic activity of HEA catalysts. Herein, an efficient strategy...
The commercialization of MXenes as anodes for lithium‐ion batteries is largely impeded by low initial coulombic efficiency (ICE) and unfavorable cycling stability, which are closely associated with defects such as Ti vacancies (VTi) in Ti3C2 MXenes. Herein, an effective strategy is developed to deactivate VTi defects by in situ growing Al2O3 nanoclusters on MXenes to alleviate the irreversible electrolyte...
Rechargeable Li–O2 batteries are promising due to their superior high energy density but subject to sluggish oxygen reduction/evolution kinetics. Developing highly efficient catalysts to improve catalytic activity and alleviate oxidation–reduction overpotential of Li–O2 batteries is of great challenge and importance. Herein, a CO2‐assisted thermal‐reaction strategy is developed to fabricate isolated...
MXenes have attracted increasing attention due to their unique advantages, excellent electronic conductivity, tunable layer structure, and controllable interfacial chemistry. However, the practical applications of MXenes in energy storage devices are severely limited by the issues of torpid reaction kinetics, limited active sites, and poor material utilization efficiency. Herein, the most‐up‐to date...
The main goal of this research is to find a solution of distance constrained aerial vehicle routing problem using genetic algorithm based on the minimum spanning tree heuristic. As the lower bound of vehicle routing problem, the minimum spanning tree provides a natural heuristic for the searching of routes. It is used in generating the initial population and designing of the reorganization crossover...
According to the research on node centrality of complex network, the existing methods although take the global and local importance of node into account, but don't consider the importance of adjacent edges and the direction of interaction. For this, provides a new method for measuring the node centrality of complex directed network, considers the node's role in network efficiency and degree distribution...
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