Uncovering ion transport mechanisms in ionic liquids using data science
Integration of data science tools with physics-informed scaling analysis reveals new descriptors, scaling theories, and molecular design principles.
Authors
- Ryan K. Cashen (ORCID: https://orcid.org/0000-0002-0910-6720)
- Matthew A. Gebbie (ORCID: https://orcid.org/0000-0002-4619-4002)
- Víctor M. Zavala (ORCID: https://orcid.org/0000-0002-5744-7378)
- J. E. Umaña (ORCID: https://orcid.org/0000-0003-0791-0130)
Institutions
- University of Wisconsin–Madison (US)
Publication Details
- Journal
- Digital Discovery
- Published
- 2025-01-01
- DOI
- https://doi.org/10.1039/d4dd00378k
- Citations
- 4
- Primary Topic
- Ionic liquids properties and applications
- Type
- article
- Field-Weighted Citation Impact
- 1.56
Funders
- National Science Foundation
- Wisconsin Alumni Research Foundation
- University of Wisconsin-Madison