Data for: Ionic Liquid Conductivity Models by Symbolic Regression

Chalmers University of Technology / DORIS repository 2026 Dataset Open access

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Authors: Isak Bengtsson, Patrik Johansson
DOI: 10.71870/1ndm-cj56
Cited by: 0

Abstract

Two datasets with experimentally measured ionic conductivities for different ionic liquids (IL) are provided. The first one was measured in-house for a publication by Nilsson-Hallén et al. (2019), whilst the second one is a curated subset of the database ILThermo. In addition to the experimental data, a set of molecular descriptors are given for each IL. These were computed using the open-source software RDKIT and OpenBabel.

Fields of Study & Subjects

Ionic liquids properties and applications Machine Learning in Materials Science Lubricants and Their Additives

Publication details

Journal / source
Chalmers University of Technology / DORIS repository
Publication date
14 January 2026
Language
EN
Document type
Dataset