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May 8, 2026Small2 citations

Large Language Model‐Guided Design of Anti‐Swelling Hybrid Dual Network Membranes for Long‐Duration Alkaline Zinc Iron Flow Batteries

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YMYu MuJLJ W LiJCJing Chen

Key Points

  • This research aims to develop a new type of membrane for flow batteries that remains stable and effective over long periods.
  • Designed hybrid dual network membranes using large language models.
  • Conducted stability tests over a duration of 820 hours.
  • Compared performance against commercial benchmarks like Nafion212 and SPEEK.
  • Membranes operated stably for over 820 hours without failure from dendrites.
  • Surpassed Nafion212 performance by threefold and SPEEK by sevenfold in stability.
  • Established a new method for using AI in material discovery for batteries.

Abstract

and operates stably for over 820 h without dendrite-induced failure, which surpassed the commercial Nafion212 and SPEEK benchmarks by threefold and sevenfold, respectively. This work establishes a paradigm for LLM-accelerated material discovery in addressing the stability-selectivity dilemma of ion-exchange membranes.

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Cite This Study

Mu et al. (2026) studied this question.

synapsesocial.com/papers/69fd7fb8bfa21ec5bbf08519https://doi.org/10.1002/smll.73664
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