@article{Zhou2025, 
author = {David Zhou and Liguang Du and Ran Xu and Jiqiang Song and Na Chen and Shanshan Zheng and Yuehong Fan},
title = {Accelerating liquid cooling adoption in data centers: necessity, challenges and solutions},
year = {2025},
journal = {Technology Review for Carbon Neutrality},
volume = {1},
pages = {9550014},
keywords = {artificial intelligence (AI), decarbonization, Data center liquid cooling, green computing},
url = {https://www.sciopen.com/article/10.26599/TRCN.2025.9550014},
doi = {10.26599/TRCN.2025.9550014},
abstract = {Optimizing cooling strategies of data centers is crucial to the carbon footprint of the world upon the explosive growth of artificial intelligence (AI). This article analyzes the necessity of transitioning from air cooling to liquid cooling in data centers and its challenges, and proposes technological and industry solutions. Liquid cooling technologies are hindered by challenges such as costs, leakage risks, and lack of standards and skilled workforce. The solutions lie in continued improvement in design methodology and technology performance, use of AI-assisted management tools, and advancing standardization and industry ecosystems.}
}