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Electrolyte discovery

A meaningful map of the underexplored electrolyte universe

Nature Computational Science volume 6, pages 229–230 (2026) Cite this article

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A machine learning framework reveals how dynamic routing and interpretability can accelerate the discovery of better electrolytes for next-generation batteries.

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Fig. 1: The Shaping Conductivity Atlas for Non-Aqueous Electrolytes (SCAN): a dynamically routed electrolyte design framework.
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Authors and Affiliations

  1. Department of Chemical Engineering, University of Massachusetts Lowell, Lowell, MA, USA

    Stephen Lam & Romakanta Bhattarai

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  1. Stephen Lam
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  2. Romakanta Bhattarai
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Correspondence to Stephen Lam.

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Lam, S., Bhattarai, R. A meaningful map of the underexplored electrolyte universe. Nat Comput Sci 6, 229–230 (2026). https://doi.org/10.1038/s43588-026-00962-6

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