BRINE: a cost-effective electrochemical self-driving laboratory for accelerated discovery of high-performance electrolytes

BRINE, an electrochemical self-driving lab, autonomously prepares and measures multicomponent electrolytes, guided by Bayesian optimization, completing >230 electrochemical experiments in <20 h and identifying high-conductivity mixtures.

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Publication Details

Journal
Digital Discovery
Published
2025-12-09
DOI
https://doi.org/10.1039/d5dd00353a
Citations
1
Primary Topic
Machine Learning in Materials Science
Type
article
Field-Weighted Citation Impact
0.52

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article

BRINE: a cost-effective electrochemical self-driving laboratory for accelerated discovery of high-performance electrolytes

Poulomi Nandi, Mohamadreza Ramezani, Majid Beidaghi, Pablo Antonio De La Fuente-Moreno
1 citations
Digital Discovery
Machine Learning in Materials Science
0.52
article

BRINE: a cost-effective electrochemical self-driving laboratory for accelerated discovery of high-performance electrolytes

Poulomi Nandi, Mohamadreza Ramezani, Majid Beidaghi, Pablo Antonio De La Fuente-Moreno
article en
1 citations

Abstract

BRINE, an electrochemical self-driving lab, autonomously prepares and measures multicomponent electrolytes, guided by Bayesian optimization, completing >230 electrochemical experiments in <20 h and identifying high-conductivity mixtures.

Digital DiscoveryVol. 5(1)
University of Arizona (US)
National Science Foundation
Openalex Percentile: Top 30%
Machine Learning in Materials Science
0.52
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BRINE: a cost-effective electrochemical self-driving laboratory for accelerated discovery of high-performance electrolytes — Poulomi Nandi, Mohamadreza Ramezani, et al. · Digital Discovery (2025) | TGRS Research Map | TGRS