APA (7th ed.) Citation

Dieselhorst, T., Cook, W., Bernuzzi, S., & Radice, D. (2021). Machine Learning for Conservative-to-Primitive in Relativistic Hydrodynamics. MDPI AG.

Chicago Style (17th ed.) Citation

Dieselhorst, Tobias, William Cook, Sebastiano Bernuzzi, and David Radice. Machine Learning for Conservative-to-Primitive in Relativistic Hydrodynamics. MDPI AG, 2021.

MLA (8th ed.) Citation

Dieselhorst, Tobias, et al. Machine Learning for Conservative-to-Primitive in Relativistic Hydrodynamics. MDPI AG, 2021.