【摘 要】
:
Developing high-performing oxygen evolution reaction(OER)electrocatalysts under high-current opera-tion conditions is critical for future commercial applications of alkaline water electrolysis for clean energy generation.Herein,we prepared a three-dimensi
【机 构】
:
Key Laboratory of Biomass Chemical Engineering of the Ministry of Education,College of Chemical and
论文部分内容阅读
Developing high-performing oxygen evolution reaction(OER)electrocatalysts under high-current opera-tion conditions is critical for future commercial applications of alkaline water electrolysis for clean energy generation.Herein,we prepared a three-dimensional(3D)bimetallic oxyhydroxide hybrid grown on a Ni foam(NiFeOOH/NF)prepared by immersing Ni foam(NF)into Fe(NO3)3 solution.In this unique 3D structure,the NiFeOOH/NF hybrid was composed of crystalline Ni(OH)2 and amorphous FeOOH evenly grown on the NF surface.As a bimetallic oxyhydroxide electrocatalyst,the NiFeOOH/NF hybrid exhibited excellent catalytic activity,surpassing not only the other reported Ni-Fe based electrocatalysts,but also the commercial Ir/C catalyst.In situ electrochemical Raman spectroscopy demonstrated the active FeOOH and NiOOH phases involved in the OER process.Profiting from the synergy of Fe and Ni catalytic sites,the NiFeOOH/NF hybrid delivered an outstanding OER performance under challenging industrial conditions in a 10.0mol·L-1 KOH electrolyte at 80℃,requiring potentials as small as 1.47 and 1.51V to achieve the super-high catalytic current densities of 100 and 500mA·cm-2,respectively.
其他文献
Computers already gobble a large share of the world\'s electrical power,and their energy demand will likely soar with the deploy-ment of more and more power-hungry artificial intelligence(AI)systems[1].In a step that might reduce AI\'s electricity use
Chemical engineers rely on models for design,research,and daily decision-making,often with potentially large financial and safety implications.Previous efforts a few decades ago to combine artificial intelli-gence and chemical engineering for modeling wer
Due to growing concerns regarding climate change and environmental protection,smart power genera-tion has become essential for the economical and safe operation of both conventional thermal power plants and sustainable energy.Traditional first-principle m
The world\'s increasing population requires the process industry to produce food,fuels,chemicals,and consumer products in a more efficient and sustainable way.Functional process materials lie at the heart of this challenge.Traditionally,new advanced mat
This paper synchronizes control theory with computer vision by formalizing object tracking as a sequen-tial decision-making process.A reinforcement learning(RL)agent successfully tracks an interface between two liquids,which is often a critical variable t
Based on the analysis of the characteristics and operation status of the process industry,as well as the development of the global intelligent manufacturing industry,a new mode of intelligent manufacturing for the process industry,namely,deep integration
With the concepts of Industry 4.0 and smart manufacturing gaining popularity,there is a growing notion that conventional manufacturing will witness a transition toward a new paradigm,targeting innovation,automation,better response to customer needs,and in
The shortage of computation methods and storage devices has largely limited the development of multi-objective optimization in industrial processes.To improve the operational levels of the process industries,we propose a multi-objective optimization frame
Data-driven process-monitoring methods have been the mainstream for complex industrial systems due to their universality and the reduced need for reaction mechanisms and first-principles knowledge.However,most data-driven process-monitoring methods assume
Cell voltage is a widely used signal that can be measured online from an industrial aluminum electrolysis cell.A variety of parameters for the analysis and control of industrial cells are calculated using the cell voltage.In this paper,the frequency segme