Guest editorial: Data-driven methods for heat transfer and fluid flow.

This article discusses the increasing popularity of data-driven methods for predicting heat transfer and fluid flow behavior in complex physical systems. The special issue focuses on innovative research that expands the boundaries of this field, showcasing advancements in methodologies and their applications across various domains. The article introduces 16 papers featured in the special issue, highlighting their contributions and findings. The overall aim of this special issue is to highlight the potential of data-driven methods in heat transfer and fluid flow, paving the way for more efficient and accurate solutions in engineering and scientific applications. [Extracted from the article]