Chat-RFB: a flow battery chat system leveraging knowledge graphs and large language models

Digital Discovery 2026 Open access

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Authors: Haotian Wang, Xuefeng Bai, Zhiling Zheng, Xin Zhang, Ruipeng Jin, Hao-Tian An, Zheng-He Xie, Xiu‐Liang Lv, Jian-Rong Li
DOI: 10.1039/d5dd00494b
Cited by: 1
References: 50

Abstract

Chat-RFB integrates knowledge graphs with large language models to enable accurate, source-verified scientific dialogue and accelerate discovery in redox flow battery research.

Fields of Study & Subjects

Advanced battery technologies research Electrocatalysts for Energy Conversion CO2 Reduction Techniques and Catalysts

Publication details

Journal / source
Digital Discovery
Publisher
Royal Society of Chemistry (RSC)
Volume
5
Issue
3
Pages
1401–1410
Publication date
1 January 2026
Language
EN