KBKit: A Python Toolkit for Kirkwood–Buff Theory from Molecular Dynamics
2020, 10, 771) extrapolation to the thermodynamic limit. Built-in convergence diagnostics alert users when Kirkwood-Buff integrals (KBIs) fail to meet established quality criteria. Using input from standard GROMACS output files, KBKit automatically computes KBIs and derived thermodynamic quantities, including: activity coefficients, excess Gibbs energy, and zero-wavevector structure factors, for both multicomponent and electrolyte systems. Written with modern software-engineering practices such as continuous integration, extensive unit testing, and thorough documentation, KBKit is both reliable and easy to extend. By condensing the complex KBI correction and analysis workflow into a few intuitive commands, KBKit enables researchers to incorporate KB theory into routine simulation workflows and accelerate the characterization of solution-phase thermodynamics.
Authors
- Allison A. Peroutka (ORCID: https://orcid.org/0000-0003-1041-3653)
- Gregory Brian Stephenson (ORCID: https://orcid.org/0000-0001-9984-3443)
- Michael J. Servis (ORCID: https://orcid.org/0000-0002-2404-1865)
Institutions
- Argonne National Laboratory (US)
- Division of Materials Science and Engineering (AU)
Publication Details
- Journal
- Journal of Chemical Information and Modeling
- Published
- 2026-05-29
- DOI
- https://doi.org/10.1021/acs.jcim.6c00344
- Primary Topic
- Advanced Physical and Chemical Molecular Interactions
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Basic Energy Sciences