How to cite freud

Please acknowledge the use of this software within the body of your publication for example by copying or adapting the following formulation:

Data analysis for this publication utilized the freud library[1].

[1] V. Ramasubramani, B. D. Dice, E. S. Harper, M. P. Spellings, J. A. Anderson, and S. C. Glotzer. freud: A Software Suite for High Throughput Analysis of Particle Simulation Data. Computer Physics Communications Volume 254, September 2020, 107275. doi:10.1016/j.cpc.2020.107275.

The paper is available online from Computer Physics Communications and a pre-print is freely available on arXiv.

To cite this reference, you can use the following BibTeX entry:

@article{freud2020,
    title = {freud: A Software Suite for High Throughput
             Analysis of Particle Simulation Data},
    author = {Vyas Ramasubramani and
              Bradley D. Dice and
              Eric S. Harper and
              Matthew P. Spellings and
              Joshua A. Anderson and
              Sharon C. Glotzer},
    journal = {Computer Physics Communications},
    volume = {254},
    pages = {107275},
    year = {2020},
    issn = {0010-4655},
    doi = {https://doi.org/10.1016/j.cpc.2020.107275},
    url = {http://www.sciencedirect.com/science/article/pii/S0010465520300916},
    keywords = {Simulation analysis, Molecular dynamics,
                Monte Carlo, Computational materials science},
}

Optionally, publications using freud in the context of machine learning or data visualization may also wish to cite this reference.

[2] B. D. Dice, V. Ramasubramani, E. S. Harper, M. P. Spellings, J. A. Anderson, and S. C. Glotzer. Analyzing Particle Systems for Machine Learning and Data Visualization with freud. Proceedings of the 18th Python in Science Conference, 2019, 27-33. doi:10.25080/Majora-7ddc1dd1-004.

The paper is freely available from the SciPy Conference website.

To cite this reference, you can use the following BibTeX entry:

@InProceedings{freud2019,
    title = {Analyzing Particle Systems for Machine Learning
             and Data Visualization with freud},
    author = {Bradley D. Dice and
              Vyas Ramasubramani and
              Eric S. Harper and
              Matthew P. Spellings and
              Joshua A. Anderson and
              Sharon C. Glotzer },
    booktitle = {Proceedings of the 18th Python in Science Conference},
    pages = {27-33},
    year = {2019},
    editor = {Chris Calloway and David Lippa and Dillon Niederhut and David Shupe},
    doi = {https://doi.org/10.25080/Majora-7ddc1dd1-004},
    url = {http://conference.scipy.org/proceedings/scipy2019/bradley_dice.html}
}