Integration of Artificial Intelligence in Phase Change Materials in Buildings: A Bibliometric Analysis

Artificial intelligence (AI) is a fast-growing technology that has enormous potential to transform many industries, including building energy management. Phase change materials in buildings, which regulate temperature by absorbing or releasing heat during changes in state, can be optimized by AI to improve their efficiency and environmental impact. This study presents the results of a bibliometric analysis of 244 research articles on the integration of artificial intelligence in phase-change materials, from the Scopus database. The analysis was carried out to identify current trends in research in this area, the most studied topics, the most productive authors and the most active countries. The R Studio and VOSviewer tools were used to analyze the publications on the use of artificial intelligence in the optimization of phase change materials and its impact on the thermal management of buildings. This bibliometric analysis makes it possible to visualize the links between publications, keywords, authors and countries, and to identify the main research themes, as well as the most influential authors and sources in this field.