Exploring the deviation from Nernst–Einstein conductivity in ionic liquids using machine learning

Digital Discovery 2026 Open access

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Authors: Aditi Seshadri, L. D. Hess, Shuwen Yue
DOI: 10.1039/d5dd00414d
Cited by: 2
References: 55

Abstract

Correcting the Nernst–Einstein equation using sigma profile-based machine learning models is an accurate, interpretable approach to estimate ionic liquid conductivities.

Fields of Study & Subjects

Machine Learning in Materials Science Advanced Battery Materials and Technologies Thermal Expansion and Ionic Conductivity

Publication details

Journal / source
Digital Discovery
Publisher
Royal Society of Chemistry (RSC)
Volume
5
Issue
4
Pages
1709–1717
Publication date
1 January 2026
Language
EN