Chen et al. Energy Mater 2024;4:400019 DOI: 10.20517/energymater.2023.91 Energy Materials © The Author(s) 2024. Open Access This article is licensed under a Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, sharing, adaptation, distribution and reproduction in any medium or format, for any purpose, even commercially, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. www.oaepublish.com/energymater Open Access Perspective Digitization of flow battery experimental process research and development Changyu Chen 1 , Gaole Dai 2 , Yuechen Gao 1 , Peizhe Xu 3 , Wei He 4 , Shunan Feng 4 , Xi Zhu 1,* , Yu Zhao 2,* 1 School of Science and Engineering, the Chinese University of Hong Kong (Shenzhen), Shenzhen 518172, Guangdong, China. 2 College of Material, Chemistry and Chemical Engineering, Key Laboratory of Organosilicon Chemistry and Material Technology (Ministry of Education), Hangzhou Normal University, Hangzhou 311121, Zhejiang, China. 3 School of Data Science, the Chinese University of Hong Kong (Shenzhen), Shenzhen 518172, Guangdong, China. 4 X-Energy Systems Co. Ltd., Jiaxing 314015, Zhejiang, China. *Correspondence to: Prof. Xi Zhu, School of Science and Engineering, the Chinese University of Hong Kong (Shenzhen), No. 2001, Longxiang Boulevard, Shenzhen 518172, Guangdong, China. E-mail: zhuxi@cuhk.edu.cn; Prof. Yu Zhao, College of Material, Chemistry and Chemical Engineering, Key Laboratory of Organosilicon Chemistry and Material Technology (Ministry of Education), Hangzhou Normal University, No. 2318, Yuhangtang Road, Hangzhou 311121, Zhejiang, China. E-mail: yuzhao@hznu.edu.cn How to cite this article: Chen C, Dai G, Gao Y, Xu P, He W, Feng S, Zhu X, Zhao Y. Digitization of flow battery experimental process research and development. Energy Mater 2024;4:400019. https://dx.doi.org/10.20517/energymater.2023.91 Received: 7 Nov 2023 First Decision: 13 Dec 2023 Revised: 28 Dec 2023 Accepted: 4 Mar 2024 Published: 15 Mar 2024 Academic Editors: Cristina Flox Donoso, Xiongwei Wu Copy Editor: Fangling Lan Production Editor: Fangling Lan Abstract Rising atmospheric CO 2 concentrations urgently call for advanced sustainable energy storage solutions, underlining the pivotal role of renewable energies. This perspective delves into the capabilities of redox flow batteries as potential grid storage contenders, highlighting their benefits over traditional lithium-ion batteries. While all- vanadium flow batteries have established themselves, concerns about vanadium availability have steered interest toward Organic Flow Batteries. The multifaceted nature of organic materials calls for an integrated approach combining artificial intelligence, robotics, and material science to enhance battery efficacy. The union of artificial intelligence and robotics expedites the research and development trajectory, encompassing everything from data assimilation to continuous refinement. With the burgeoning metaverse, a groundbreaking avenue for collaborative research emerges, potentially revolutionizing flow battery research and catalyzing the progression towards sustainable energy resolutions. Keywords: Renewable energies, redox flow batteries, material science, artificial intelligence, robotics, metaverse