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

Institutions

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

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

KBKit: A Python Toolkit for Kirkwood–Buff Theory from Molecular Dynamics

Allison A. Peroutka, Gregory Brian Stephenson, Michael J. Servis
Journal of Chemical Information and Modeling
Advanced Physical and Chemical Molecular Interactions
article

KBKit: A Python Toolkit for Kirkwood–Buff Theory from Molecular Dynamics

Allison A. Peroutka, Gregory Brian Stephenson, Michael J. Servis
article en

Abstract

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.

Journal of Chemical Information and Modeling
Argonne National Laboratory (US), Division of Materials Science and Engineering (AU)
Basic Energy Sciences
Openalex Percentile: Top 6%
Advanced Physical and Chemical Molecular Interactions
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.