-
Notifications
You must be signed in to change notification settings - Fork 0
Expand file tree
/
Copy pathCITATION.cff
More file actions
29 lines (29 loc) · 1.28 KB
/
Copy pathCITATION.cff
File metadata and controls
29 lines (29 loc) · 1.28 KB
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
cff-version: 1.2.0
message: "If you use PackLab in your research, please cite this software."
title: "PackLab"
type: software
authors:
- family-names: "Poinsinet de Sivry-Houle"
given-names: "Martin"
affiliation: "Biomedical Engineering and Physics, Amsterdam UMC, University of Amsterdam, Amsterdam, the Netherlands"
- family-names: "Attendu"
given-names: "Xavier"
affiliation: "Biomedical Engineering and Physics, Amsterdam UMC, University of Amsterdam, Amsterdam, the Netherlands"
- family-names: "van Leeuwen"
given-names: "Ton G."
affiliation: "Biomedical Engineering and Physics, Amsterdam UMC, University of Amsterdam, Amsterdam, the Netherlands"
- family-names: "van der Pol"
given-names: "Edwin"
affiliation: "Biomedical Engineering and Physics, Amsterdam UMC, University of Amsterdam, Amsterdam, the Netherlands"
abstract: >
PackLab is a Python package for unit-aware Percus--Yevick pair correlations
and structure factors of multicomponent hard-sphere mixtures, with
complementary random sequential addition and Metropolis Monte Carlo workflows.
license: "MIT"
repository-code: "https://github.com/MartinPdeS/PackLab"
keywords:
- hard-sphere mixtures
- Percus-Yevick
- random sequential addition
- Metropolis Monte Carlo
- structure factors