APA (7th ed.) Citation

Shi, Y., Chávez, V. H., & Wasserman, A. (2022). n2v: A density‐to‐potential inversion suite. A sandbox for creating, testing, and benchmarking density functional theory inversion methods. WIREs: Computational Molecular Science, 12(6), 1. https://doi.org/10.1002/wcms.1617

Chicago Style (17th ed.) Citation

Shi, Yuming, Victor H. Chávez, and Adam Wasserman. "N2v: A Density‐to‐potential Inversion Suite. A Sandbox for Creating, Testing, and Benchmarking Density Functional Theory Inversion Methods." WIREs: Computational Molecular Science 12, no. 6 (2022): 1. https://doi.org/10.1002/wcms.1617.

MLA (9th ed.) Citation

Shi, Yuming, et al. "N2v: A Density‐to‐potential Inversion Suite. A Sandbox for Creating, Testing, and Benchmarking Density Functional Theory Inversion Methods." WIREs: Computational Molecular Science, vol. 12, no. 6, 2022, p. 1, https://doi.org/10.1002/wcms.1617.