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Perovskite- and Dye-Sensitized Solar-Cell Device Databases Auto-generated Using ChemDataExtractor.

Edward J Beard1,2, Jacqueline M Cole3,4,5,6

  • 1Cavendish Laboratory, Department of Physics, University of Cambridge, J. J. Thomson Avenue, Cambridge, CB3 0HE, UK.

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|June 17, 2022
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Summary
This summary is machine-generated.

Researchers created two databases of photovoltaic device data from scientific articles. These databases, covering dye-sensitized solar cells (DSCs) and perovskite solar cells (PSCs), aid renewable energy material discovery.

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Area of Science:

  • Materials Science
  • Renewable Energy Technologies
  • Photovoltaics

Background:

  • Growing demand for renewable energy solutions to combat climate change.
  • Increasing number of publications on advanced photovoltaic devices.
  • Need for centralized data repositories for photovoltaic performance metrics.

Purpose of the Study:

  • To establish comprehensive, automatically generated databases for dye-sensitized solar cells (DSCs) and perovskite solar cells (PSCs).
  • To facilitate data-driven discovery of novel photovoltaic materials.
  • To provide a valuable resource for researchers in the renewable energy sector.

Main Methods:

  • Utilized the ChemDataExtractor text-mining toolkit to process a corpus of 25,720 scientific articles.
  • Developed two databases containing photovoltaic properties and device material data.
  • Implemented multi-faceted evaluation (manual and automatic) to ensure data quality, achieving precision metrics from 73.1% to 95.8%.

Main Results:

  • Created two databases with 660,881 data entries from 57,678 photovoltaic devices.
  • The DSC database includes 475,045 entries (41,680 devices).
  • The PSC database includes 185,836 entries (15,818 devices).

Conclusions:

  • The generated databases offer a high-quality, centralized resource for photovoltaic research.
  • Data accessibility in MongoDB and JSON formats supports querying in Python, R, Java, and MATLAB.
  • These databases are poised to accelerate the discovery and development of next-generation solar cell technologies.