Transfer learning aided high-throughput computational design of oxygen evolution reaction catalysts in acid conditions

Wang, Siwen; Lin, Honghong; Wakabayashi, Yui; Zhou, Li; Roberts, Charles A.; Banerjee, Debasish; Jia, Hongfei; Ling, Chen

doi:10.1016/j.jechem.2023.02.004

Cited by 13 publications

(1 citation statement)

References 114 publications

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“…During the process, the anode oxygen precipitation reaction generates many hydrogen ions, resulting in a strong acidic state (pH ≈2), [ 26 ] which requires high corrosion resistance of the materials used in the anode environment. The generated hydrogen and oxygen are stored separately through a gas–liquid separator.…”

Section: Offshore Wind Power–pem Electrolyzer System Analysismentioning

confidence: 99%

Optimal Fractional‐Order Proportion Integration Differentiation Control of Proton Exchange Membrane Electrolyzer for Offshore Wind Power Hydrogen Production System

Tong¹,

Wei²,

Jin

et al. 2023

Energy Tech

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Offshore wind power is mostly of strong randomness and unpredictability, which brings a great challenge to proton exchange membrane (PEM) water electrolysis‐based hydrogen production. Besides, volatile temperature and pressure tend to impose prominent impacts on electrolyzer parameters as well. By analyzing the electrochemical characteristics of PEM electrolyzers, the electrochemical model of PEM electrolyzer in offshore wind power generation hydrogen production system is established. To ensure the control performance of PEM electrolyzers, the fractional‐order proportion integration differentiation (FOPID) control strategy and the improved firefly algorithm (IFA) are introduced, and the relevant parameters are optimized according to the overshoot and stability time as evaluation indicators. In order to adapt to the FOPID control requirements, a step‐type inertia weighting factor is employed to improve the classical firefly algorithm to avoid local optimum, and a mutation mechanism is used to expand the search range. Verification results show that the proposed IFAFOPID controller is superior to the traditional PID controller with a smaller overshoot and a shorter transition time subject to different disturbances, and thus is more beneficial to achieve precise voltage control and obtain stable hydrogen output.

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Section: Offshore Wind Power–pem Electrolyzer System Analysismentioning

confidence: 99%

Optimal Fractional‐Order Proportion Integration Differentiation Control of Proton Exchange Membrane Electrolyzer for Offshore Wind Power Hydrogen Production System

Tong¹,

Wei²,

Jin

et al. 2023

Energy Tech

View full text Add to dashboard Cite

show abstract

A Review on Fe₂O₃‐Based Catalysts for Toluene Oxidation: Catalysts Design and Optimization with the Formation of Abundant Oxygen Vacancies

Zhang,

He,

Tang

et al. 2024

ChemCatChem

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Volatile organic compounds (VOCs) are typical pollutants with hazards for humans and the environment, and can be efficiently mitigated by catalytic combustion. Fe2O3‐based catalysts are a promising choice due to their low cost and strong redox ability. Several attempts have been made to promote the catalytic performance of Fe2O3 at low temperatures. This review summarizes the research progress on Fe2O3‐based catalysts for the oxidation of toluene, one of the most common and harmful VOC. Firstly, the properties and catalytical performance for Fe2O3‐based catalysts were summarized, and the reaction mechanisms for toluene oxidation on the surface of Fe2O3 were detailed to comprehend the role of oxygen vacancy. Then, the modification for single Fe2O3 catalysts, including synthesis parameters, structure and morphology control, has been introduced to reveal the correlation between physicochemical properties of catalysts and their activity. In addition, composite Fe2O3 catalysts, which can promote catalytic performance significantly due to the synergetic effect between different components, were comprehended. Finally, waste‐derived Fe2O3 catalysts with sustainable merit as converting waste into worth have been discussed. Moreover, the advanced machine learning tools, which are helpful in accelerating catalyst design, configuration optimization and reactivity prediction, have been introduced as an emerging research opportunity for the future.

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Electrochemical impedance spectroscopy analysis to accelerate electrocatalytic system innovation

Zhu,

Liu,

Guo

et al. 2024

Sci. China Chem.

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Transfer learning aided high-throughput computational design of oxygen evolution reaction catalysts in acid conditions

Cited by 13 publications

References 114 publications

Optimal Fractional‐Order Proportion Integration Differentiation Control of Proton Exchange Membrane Electrolyzer for Offshore Wind Power Hydrogen Production System

Optimal Fractional‐Order Proportion Integration Differentiation Control of Proton Exchange Membrane Electrolyzer for Offshore Wind Power Hydrogen Production System

A Review on Fe₂O₃‐Based Catalysts for Toluene Oxidation: Catalysts Design and Optimization with the Formation of Abundant Oxygen Vacancies

Electrochemical impedance spectroscopy analysis to accelerate electrocatalytic system innovation

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Transfer learning aided high-throughput computational design of oxygen evolution reaction catalysts in acid conditions

Cited by 13 publications

References 114 publications

Optimal Fractional‐Order Proportion Integration Differentiation Control of Proton Exchange Membrane Electrolyzer for Offshore Wind Power Hydrogen Production System

Optimal Fractional‐Order Proportion Integration Differentiation Control of Proton Exchange Membrane Electrolyzer for Offshore Wind Power Hydrogen Production System

A Review on Fe2O3‐Based Catalysts for Toluene Oxidation: Catalysts Design and Optimization with the Formation of Abundant Oxygen Vacancies

Electrochemical impedance spectroscopy analysis to accelerate electrocatalytic system innovation

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Product

Resources

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A Review on Fe₂O₃‐Based Catalysts for Toluene Oxidation: Catalysts Design and Optimization with the Formation of Abundant Oxygen Vacancies