Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Global Research Cooperation Patterns in the Secondary Battery Industry

Version 1 : Received: 3 February 2024 / Approved: 5 February 2024 / Online: 5 February 2024 (08:06:41 CET)

How to cite: AN, H.; CHO, K. Global Research Cooperation Patterns in the Secondary Battery Industry. Preprints 2024, 2024020244. https://doi.org/10.20944/preprints202402.0244.v1 AN, H.; CHO, K. Global Research Cooperation Patterns in the Secondary Battery Industry. Preprints 2024, 2024020244. https://doi.org/10.20944/preprints202402.0244.v1

Abstract

The purpose of this study is to analyze how global research cooperation patterns in the secondary battery industry have changed over recent years and to identify the evolution in the focus of research. To this end, network analysis was performed using the nationality information of the authors of a 10-year multinational joint research paper related to lithium-ion batteries. Furthermore, keyword analysis and topic modeling were performed using the abstract data from the study. The results of this study confirm that some countries that are not well-known in the field, such as Australia, Spain, and France, showed high centrality, compared with the level of cooperation scale. Additionally, six research topics were identified. According to a comparison over the first half of the decade, no difference was observed in the appearance of keywords indicating high energy density and conductivity with lithium, a key mineral. Keyword distribution was high for topics like battery charging and discharging in the first half of the decade, and for next-generation battery materials, such as solid electrolytes, lithium metal anodes, and lithium-sulfur batteries in the second. These results provide insights into the establishment of R&D cooperation strategies by countries and pre-planning by companies in the battery industry.

Keywords

research cooperation pattern; co-author thesis; secondary battery industry; network analysis; Latent Dirichlet Allocation topic modeling

Subject

Business, Economics and Management, Business and Management

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