Non-aqueous battery electrolytes: high-throughput experimentation and machine learning-aided optimization of ionic conductivity

Yan, Peng; Fischer, Mirko; Martin, Harrison; Wölke, Christian; Krishnamoorthy, Anand Narayanan; Cekic-Laskovic, Isidora; Diddens, Diddo; Winter, Martin; Heuer, Andreas

doi:10.1039/d3ta06249j

J. Mater. Chem. A

2024

DOI: 10.1039/d3ta06249j

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Non-aqueous battery electrolytes: high-throughput experimentation and machine learning-aided optimization of ionic conductivity

Peng Yan,

Mirko Fischer,

Harrison Martin

et al.

Abstract: We study the ionic conductivity of a bi-salt (LiPF6, LiFSI) and ternary solvent (EC, EMC, PC) liquid battery electrolyte with high throughput experimentation and the open source Liquid Electrolyte Composition Analysis (LECA) Machine-Learning library.

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Non-aqueous battery electrolytes: high-throughput experimentation and machine learning-aided optimization of ionic conductivity

Abstract: We study the ionic conductivity of a bi-salt (LiPF6, LiFSI) and ternary solvent (EC, EMC, PC) liquid battery electrolyte with high throughput experimentation and the open source Liquid Electrolyte Composition Analysis (LECA) Machine-Learning library.

Cited by 0 publications

References 49 publications

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