Machine learning-enabled discovery of ionic liquid–solvent electrolytes exhibiting high ionic conductivity

This study explores the development of ionic liquid-based high-conductivity electrolytes utilizing predictive machine learning models.

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Publication Details

Journal
Molecular Systems Design & Engineering
Published
2025-10-31
DOI
https://doi.org/10.1039/d5me00146c
Primary Topic
Machine Learning in Materials Science
Type
article
Field-Weighted Citation Impact
0.00

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article

Machine learning-enabled discovery of ionic liquid–solvent electrolytes exhibiting high ionic conductivity

Jindal K. Shah, Masrur Ahmed
Molecular Systems Design & Engineering
Machine Learning in Materials Science
article

Machine learning-enabled discovery of ionic liquid–solvent electrolytes exhibiting high ionic conductivity

Jindal K. Shah, Masrur Ahmed
article en

Abstract

This study explores the development of ionic liquid-based high-conductivity electrolytes utilizing predictive machine learning models.

Molecular Systems Design & EngineeringVol. 11(2)
Oklahoma State University (US)
National Science Foundation, U.S. Department of Energy, Oklahoma State University, Office of Science
Openalex Percentile: Top 75%
Machine Learning in Materials Science
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Machine learning-enabled discovery of ionic liquid–solvent electrolytes exhibiting high ionic conductivity — Jindal K. Shah, Masrur Ahmed · Molecular Systems Design & Engineering (2025) | TGRS Research Map | TGRS