APA (7th ed.) Citation

Pastor-Alonso, D., Berg, M., Boyer, F., Fomin-Thunemann, N., Quintard, M., Davit, Y., & Lorthois, S. (2024). Modeling oxygen transport in the brain: An efficient coarse-grid approach to capture perivascular gradients in the parenchyma. PLoS Computational Biology, 20(5), 1. https://doi.org/10.1371/journal.pcbi.1011973

Chicago Style (17th ed.) Citation

Pastor-Alonso, David, Maxime Berg, Franck Boyer, Natalie Fomin-Thunemann, Michel Quintard, Yohan Davit, and Sylvie Lorthois. "Modeling Oxygen Transport in the Brain: An Efficient Coarse-grid Approach to Capture Perivascular Gradients in the Parenchyma." PLoS Computational Biology 20, no. 5 (2024): 1. https://doi.org/10.1371/journal.pcbi.1011973.

MLA (9th ed.) Citation

Pastor-Alonso, David, et al. "Modeling Oxygen Transport in the Brain: An Efficient Coarse-grid Approach to Capture Perivascular Gradients in the Parenchyma." PLoS Computational Biology, vol. 20, no. 5, 2024, p. 1, https://doi.org/10.1371/journal.pcbi.1011973.