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Band gap information extraction from materials science literature – a pilot study

Satanu Ghosh (School of Library and Information Studies, University of Oklahoma, Norman, Oklahoma, USA)
Kun Lu (School of Library and Information Studies, University of Oklahoma, Norman, Oklahoma, USA)

Aslib Journal of Information Management

ISSN: 2050-3806

Article publication date: 26 August 2022

48

Abstract

Purpose

The purpose of this paper is to present a preliminary work on extracting band gap information of materials from academic papers. With increasing demand for renewable energy, band gap information will help material scientists design and implement novel photovoltaic (PV) cells.

Design/methodology/approach

The authors collected 1.44 million titles and abstracts of scholarly articles related to materials science, and then filtered the collection to 11,939 articles that potentially contain relevant information about materials and their band gap values. ChemDataExtractor was extended to extract information about PV materials and their band gap information. Evaluation was performed on randomly sampled information records of 415 papers.

Findings

The findings of this study show that the current system is able to correctly extract information for 51.32% articles, with partially correct extraction for 36.62% articles and incorrect for 12.04%. The authors have also identified the errors belonging to three main categories pertaining to chemical entity identification, band gap information and interdependency resolution. Future work will focus on addressing these errors to improve the performance of the system.

Originality/value

The authors did not find any literature to date on band gap information extraction from academic text using automated methods. This work is unique and original. Band gap information is of importance to materials scientists in applications such as solar cells, light emitting diodes and laser diodes.

Keywords

Acknowledgements

The authors appreciate the contribution of Dr. Bayram Saparov and Dr. Bin Wang to the ideation of this work. This work is partially supported by the University of Oklahoma Data Institute for Societal Challenges Seed Grant and College of Arts and Sciences Data Scholarship Initiative Grant.

Citation

Ghosh, S. and Lu, K. (2022), "Band gap information extraction from materials science literature – a pilot study", Aslib Journal of Information Management, Vol. ahead-of-print No. ahead-of-print. https://doi.org/10.1108/AJIM-03-2022-0141

Publisher

:

Emerald Publishing Limited

Copyright © 2022, Emerald Publishing Limited

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