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Home»Research»Streamlining lithium metal battery research using AI databases
Research

Streamlining lithium metal battery research using AI databases

versatileaiBy versatileaiJune 26, 2025No Comments2 Mins Read
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Scientists at the University of Surrey are developing an AI-driven public database to streamline research on lithium metal batteries (LMBs) that focuses on optimizing liquid electrolyte designs.

Image credit: Fishman64/shutterstock.com

The field of battery electrolyte research is flooded with hundreds of publications each week, resulting in a lack of fragmented data sets, inconsistent reporting practices, and standardized performance metrics.

The project is designed to streamline the vast organisation of the scientific literature on lithium metal batteries (LMBs). Specifically, we are focusing on moving forward with the design of liquid electrolytes, which is an essential element in LMB development.

Eichemy, the newly established UK research hub, granted £25,000 to the project to revolutionize the chemical interface and overcome important challenges on the ground.

Lithium metal batteries have great potential for energy storage, but their commercial viability is limited by insufficient cycle life and unwanted side reactions between lithium metal and liquid electrolytes. Currently, researchers rely on trial and error methods for the vast number of electrolyte formulations. We want to change that by extracting and standardizing the data, enabling more efficient and targeted research.

Dr. Neubi Xavier, researcher at the University of Surrey

The group will employ large-scale language models (LLM), machine learning and computational simulations to analyze existing data, uncover knowledge gaps and develop AI-driven, high-throughput databases that will become important resources for researchers in various science fields.

Without breakthroughs in energy storage, our own technological advancements are hampered. So we want to make this “computationally-enabled” cloud database publicly available for free access all over the world, creating a systematic, data-driven approach to electrolyte discovery. This not only promotes breakthroughs in battery innovation advances, but also sets new standards for reporting and collaboration in battery science.

Dr. Matthiasgoron, Project Co-Leader and Research Fellow at the University of Surrey

Lithium metal batteries offer greater energy density than traditional lithium-ion batteries and place them as a promising option for electric vehicles and energy grid storage. Nevertheless, advances in electrolyte design are essential to making LMB a viable and scalable energy solution.

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