An open-access database and analysis tool for perovskite solar cells based on the FAIR data principles release_iyc2s6qpb5dzngi5h7iz6vapbe

by Jesper Jacobsson, Adam Hultqvist, Alberto García-Fernández, Aman Anand, Amran Al-Ashouri, Anders Hagfeldt, Andrea Crovetto, Antonio Abate, Antonio Gaetano Ricciardulli, Anuja Vijayan, Ashish Kulkarni, Assaf Y. Anderson (+83 others)

Published by Apollo - University of Cambridge Repository.

2022  

Abstract

Abstract: Large datasets are now ubiquitous as technology enables higher-throughput experiments, but rarely can a research field truly benefit from the research data generated due to inconsistent formatting, undocumented storage or improper dissemination. Here we extract all the meaningful device data from peer-reviewed papers on metal-halide perovskite solar cells published so far and make them available in a database. We collect data from over 42,400 photovoltaic devices with up to 100 parameters per device. We then develop open-source and accessible procedures to analyse the data, providing examples of insights that can be gleaned from the analysis of a large dataset. The database, graphics and analysis tools are made available to the community and will continue to evolve as an open-source initiative. This approach of extensively capturing the progress of an entire field, including sorting, interactive exploration and graphical representation of the data, will be applicable to many fields in materials science, engineering and biosciences.
In text/plain format

Archived Files and Locations

application/pdf   2.0 MB
file_igq72fdtqrev5kvvpuvetr7fra
www.repository.cam.ac.uk (publisher)
web.archive.org (webarchive)
Read Archived PDF
Preserved and Accessible
Type  article-journal
Stage   published
Date   2022-01-29
Work Entity
access all versions, variants, and formats of this works (eg, pre-prints)
Catalog Record
Revision: 1fb8b258-2bf3-4a93-955c-fc9e7f543bf3
API URL: JSON