Abstract
AbstractMXenes are a material family of transition metal carbides and/or nitrides that include more than 48 different chemical compounds, with different synthesis and post-processing routes, enabling them to be exploited in a variety of applications. Consequentially, the permutability of such materials has led to the publication of several thousand articles that either mention MXenes or specifically focus on them. This results in a common challenge shared by many large research domains, where researchers often face significant obstacles in obtaining a swift and all-encompassing macro-perspective. Herein, we have utilized data mining tool to gather 25.355 articles from the inception of MXenes in 2011 up until 31 December 2022. Accordingly, we processed the collated data by using clustering, link analysis and frequent itemset analysis in a variety of ways to visualize the results in a range of plots and figures to ascertain trends and correlations to identify the gaps that this research domain may have for future investigations.
Publisher
Springer Science and Business Media LLC
Cited by
4 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献