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Quantitative framework development for understanding the relationship between doping and photoelectrochemical energy conversion of TiO2

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MATERIALS ADVANCES
卷 4, 期 16, 页码 3399-3451

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ROYAL SOC CHEMISTRY
DOI: 10.1039/d3ma00059a

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Efficient energy harvesting devices are essential for sustainable development goals. Titania, a semiconductor, has gained significant research attention for energy independence due to its abundance, stability, non-toxicity, and energy-prospective nature. Improving the poor conductivity of TiO2 is crucial for achieving competitive Power Conversion Efficiency (PCE), and doping with impurities is a prominent method to enhance its conductivity. This review critically analyzes the doping of TiO2 in relation to the PCE of electrochemical cells, offering an alternative quantitative framework for understanding the relationship between doping and photoelectrochemical energy conversion in TiO2-based devices. It also provides insights into data analysis, visualization, and contemporary techniques for doping TiO2.
Efficient energy harvesting devices are required to achieve sustainable development goals. Titania is a semiconductor that has attracted substantial research attention in pursuit of energy independence since it is an abundant, stable, toxin-free, and energy-prospective substance. Careful tailoring of morphological and electronic properties is required to address the poor conductivity of TiO2 to achieve competitive Power Conversion Efficiency (PCE). Adding an optimum amount of impurity to TiO2 is one of the prominent methods to increase its conductivity. This review critically analyzes doping of TiO2 in light of the power conversion efficiencies of various electrochemical cells. This review suggests an alternative quantitative framework for developing and establishing the relationship between doping and photoelectrochemical energy conversion in TiO2-based devices. It offers an alternative for accurate data reporting after a careful analysis of the PCE data in research articles and data reporting processes now in use. This study provides information on data analysis, visualization, and contemporary techniques for doping TiO2.

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