Work

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

Year: 2025

Type: article

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

Source: Molecular Systems Design & Engineering

DOI: 10.1039/d5me00146c

Authors: Masrur Ahmed, Jindal K. Shah

Institution: Oklahoma State University

Language: English

Topic: Ionic liquids properties and applications

Subfield: Catalysis

Field: Chemical Engineering

Domain: Physical Sciences

Open Access status: hybrid

Funders: National Science Foundation, U.S. Department of Energy, Oklahoma State University, Office of Science, Basic Energy Sciences

Awards: G3907622032, G4101273669, MRI: Acquisition of Shared High Performance Compute Cluster for Multidisciplinary Computational and Data-Intensive Research

OpenAlex ID: W4415749841

FWCI: 0.556

Cites: 47

Cited by: 4

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