Review paper on Generative AI and LLM applications for PSE (Editor’s Choice)

[Editor’s Choice] Prof. SungKu Heo published a review paper on large language model (LLM) applications in process systems engineering (PSE) in the Korean Journal of Chemical Engineering. This study explores the emerging role of generative artificial intelligence (GenAI), particularly LLMs, in advancing PSE through enhanced automation, process optimization, and knowledge extraction. Despite current challenges such as data quality, interpretability, and scalability, the review highlights the strong potential of LLMs to enable innovative solutions including hybrid modeling, autonomous control, multiscale optimization, and integration with digital twins. The findings emphasize the transformative impact of LLMs in shaping the future of Chemical Engineering 4.0 and accelerating the digital evolution of PSE. The paper is accessible via the following DOI link: https://doi.org/10.1007/s11814-025-00524-y.