Structure engineering of amorphous P–CoS hollow electrocatalysts for promoted oxygen evolution reaction

Zhao, Li; Li, Chuanlong; Huang, Jingjing; Sun, Wei; Cheng, Wenjing; He, Changchun; Tian, Lin

doi:10.1016/j.ijhydene.2022.03.038

Cited by 53 publications

(39 citation statements)

References 48 publications

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“…[3][4][5][6] However, the O-H bond breaking and the consequent OvO bond formation, as well as the 4-electron-proton-coupled process of the anodic oxygen evolution reaction (OER) inevitably causes sluggish reaction kinetics, requiring a high overpotential and extra energy to drive it. 7,8 Although precious metal catalysts such as Ir/Ru-based materials are demonstrated to be highly active toward the OER, their scarcity and high cost greatly limit their widespread use in industrial water electrolysis. 9,10 To overcome these limitations, high-performance electrocatalysts composed of earthabundant elements should be developed for improving OER performance.…”

Section: Introductionmentioning

confidence: 99%

Engineering NiMoO₄/NiFe LDH/rGO multicomponent nanosheets toward enhanced electrocatalytic oxygen evolution reaction

Liu

Wang

et al. 2022

Dalton Trans.

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Section: Introductionmentioning

confidence: 99%

Engineering NiMoO₄/NiFe LDH/rGO multicomponent nanosheets toward enhanced electrocatalytic oxygen evolution reaction

Liu

Wang

et al. 2022

Dalton Trans.

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“…On the one hand, the distinctive hierarchical dendrite structure with rich steps and kinks enables Pd-Te NCs to expose more active sites for reactants and intermediates. [32][33][34][35][36][37][38][39][40][41][42] On the other hand, the introduction of Te can greatly tune the electronic properties of Pd to improve its intrinsic electrocatalytic activity. Furthermore, the high oxytropism of Te significantly lowers the adsorption energy of OH radicals, contributing to great tolerance to poisoning intermediates.…”

Section: Crystengcomm Papermentioning

confidence: 99%

Electronic structure optimization boosts Pd nanocrystals for ethanol electrooxidation realized by Te doping

Zhang

Wang

Zhang³

et al. 2022

CrystEngComm

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“…This sort of material may be created by packing nanostructured components into a catalytically active nanomaterial for electrocatalysis. Electrocatalysts ranging from Pt-group metals to C-based electrocatalysts have been created for both anodic and cathodic processes in various types of FCs [54][55][56][57]. For the evolution of sustainable energy technologies, the development of highly efficient and long-lasting electrocatalysts requires careful planning and synthesis.…”

Section: Types Of Fcsmentioning

confidence: 99%

A Critical Review on Artificial Intelligence for Fuel Cell Diagnosis

et al. 2022

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In recent years, fuel cell (FC) technology has seen a promising increase in its proportion in stationary power production. Several pilot projects are in operation across the world, with the number of running hours steadily rising, either as stand-alone units or as part of integrated gas turbine–electric energy plants. FCs are a potential energy source with great efficiency and zero emissions. To ensure the best performance, they normally function within a confined temperature and humidity range; nevertheless, this makes the system difficult to regulate, resulting in defects and hastened deterioration. For diagnosis, there are two primary approaches: restricted input information, which gives an unobtrusive, rapid yet restricted examination, and advanced characterization, which provides a more accurate diagnosis but frequently necessitates invasive or delayed tests. Artificial Intelligence (AI) algorithms have shown considerable promise in providing accurate diagnoses with quick data collecting. This work focuses on software models that allow the user to evaluate many different possibilities in the shortest amount of time and is a vital method for proper and dynamic analysis of such entities. The artificial neural network, genetic algorithm, particle swarm optimization, random forest, support vector machine, and extreme learning machine are common AI approaches discussed in this review. This article examines the modern practice and provides recommendations for future machine learning methodologies in fuel cell diagnostic applications. In this study, these six AI tools are specifically explained with results for a better understanding of the fuel cell diagnosis. The conclusion suggests that these approaches are not only a popular and beneficial tool for simulating the nature of an FC system, but they are also appropriate for optimizing the operational parameters necessary for an ideal FC device. Finally, observations and ideas for future research, enhancements, and investigations are offered.

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Structure engineering of amorphous P–CoS hollow electrocatalysts for promoted oxygen evolution reaction

Cited by 53 publications

References 48 publications

Engineering NiMoO₄/NiFe LDH/rGO multicomponent nanosheets toward enhanced electrocatalytic oxygen evolution reaction

Engineering NiMoO₄/NiFe LDH/rGO multicomponent nanosheets toward enhanced electrocatalytic oxygen evolution reaction

Electronic structure optimization boosts Pd nanocrystals for ethanol electrooxidation realized by Te doping

A Critical Review on Artificial Intelligence for Fuel Cell Diagnosis

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Structure engineering of amorphous P–CoS hollow electrocatalysts for promoted oxygen evolution reaction

Cited by 53 publications

References 48 publications

Engineering NiMoO4/NiFe LDH/rGO multicomponent nanosheets toward enhanced electrocatalytic oxygen evolution reaction

Engineering NiMoO4/NiFe LDH/rGO multicomponent nanosheets toward enhanced electrocatalytic oxygen evolution reaction

Electronic structure optimization boosts Pd nanocrystals for ethanol electrooxidation realized by Te doping

A Critical Review on Artificial Intelligence for Fuel Cell Diagnosis

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Engineering NiMoO₄/NiFe LDH/rGO multicomponent nanosheets toward enhanced electrocatalytic oxygen evolution reaction

Engineering NiMoO₄/NiFe LDH/rGO multicomponent nanosheets toward enhanced electrocatalytic oxygen evolution reaction