APA (7th ed.) Citation

Fan, Z., Wang, Y., Ying, P., Song, K., Wang, J., Wang, Y., . . . Ala-Nissila, T. (2022). GPUMD: A package for constructing accurate machine-learned potentials and performing highly efficient atomistic simulations. The Journal of chemical physics, 157(11), 114801-114826. https://doi.org/10.1063/5.0106617

Chicago Style (17th ed.) Citation

Fan, Zheyong, et al. "GPUMD: A Package for Constructing Accurate Machine-learned Potentials and Performing Highly Efficient Atomistic Simulations." The Journal of Chemical Physics 157, no. 11 (2022): 114801-114826. https://doi.org/10.1063/5.0106617.

MLA (9th ed.) Citation

Fan, Zheyong, et al. "GPUMD: A Package for Constructing Accurate Machine-learned Potentials and Performing Highly Efficient Atomistic Simulations." The Journal of Chemical Physics, vol. 157, no. 11, 2022, pp. 114801-114826, https://doi.org/10.1063/5.0106617.