Shi, Y., Chávez, V. H., & Wasserman, A. (2022). n2 v: A density‐to‐potential inversion suite. A sandbox for creating, testing, and benchmarking density functional theory inversion methods. WIREs: Computational Molecular Science, 12(6), 1-17. https://doi.org/10.1002/wcms.1617

SHI, Yuming, CHÁVEZ, Victor H. und WASSERMAN, Adam, 2022. n2 v: A density‐to‐potential inversion suite. A sandbox for creating, testing, and benchmarking density functional theory inversion methods. WIREs: Computational Molecular Science. 1 November 2022. Vol. 12, no. 6, p. 1-17. DOI 10.1002/wcms.1617.

Shi, Y., V. H. Chávez, und A. Wasserman. „n2 v: A density‐to‐potential Inversion Suite. A Sandbox for Creating, Testing, and Benchmarking Density Functional Theory Inversion Methods.“. WIREs: Computational Molecular Science, Bd. 12, Nr. 6, November 2022, S. 1-17, https://doi.org/10.1002/wcms.1617.

Shi, Yuming/Chávez, Victor H./Wasserman, Adam: n2 v: A density‐to‐potential inversion suite. A sandbox for creating, testing, and benchmarking density functional theory inversion methods., WIREs: Computational Molecular Science 2022, 1-17.

Shi, Y., Chávez, V.H. und Wasserman, A. (2022), „n2 v: 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, S. 1-17.