APA (7th ed.) Citation

Uhrin, M., Huber, S. P., Yu, J., Marzari, N., & Pizzi, G. (2021). Workflows in AiiDA: Engineering a high-throughput, event-based engine for robust and modular computational workflows. Computational materials science, 187, 110086. https://doi.org/10.1016/j.commatsci.2020.110086

Chicago Style (17th ed.) Citation

Uhrin, Martin, Sebastiaan P. Huber, Jusong Yu, Nicola Marzari, and Giovanni Pizzi. "Workflows in AiiDA: Engineering a High-throughput, Event-based Engine for Robust and Modular Computational Workflows." Computational Materials Science 187 (2021): 110086. https://doi.org/10.1016/j.commatsci.2020.110086.

MLA (9th ed.) Citation

Uhrin, Martin, et al. "Workflows in AiiDA: Engineering a High-throughput, Event-based Engine for Robust and Modular Computational Workflows." Computational Materials Science, vol. 187, 2021, p. 110086, https://doi.org/10.1016/j.commatsci.2020.110086.