引用格式
Li, Zongze, and Wenbin Mao. “A Fast Approach to Estimating Windkessel Model Parameters for Patient-Specific Multi-Scale CFD Simulations of Aortic Flow.” Computers Fluids, vol. 259, June 2023, p. 105894, https://doi.org/10.1016/j.compfluid.2023.105894.
查看更多格式
| MLA |
Li, Zongze, and Wenbin Mao. “A Fast Approach to Estimating Windkessel Model Parameters for Patient-Specific Multi-Scale CFD Simulations of Aortic Flow.” Computers Fluids, vol. 259, June 2023, p. 105894, https://doi.org/10.1016/j.compfluid.2023.105894.
|
| APA |
Li, Z., & Mao, W. (2023). A fast approach to estimating Windkessel model parameters for patient-specific multi-scale CFD simulations of aortic flow. Computers & Fluids, 259, 105894. Elsevier BV. Retrieved from http://dx.doi.org/10.1016/j.compfluid.2023.105894
|
| BibTeX |
@article{Li_2023, title={A fast approach to estimating Windkessel model parameters for patient-specific multi-scale CFD simulations of aortic flow}, volume={259}, ISSN={0045-7930}, url={http://dx.doi.org/10.1016/j.compfluid.2023.105894}, DOI={10.1016/j.compfluid.2023.105894}, journal={Computers & Fluids}, publisher={Elsevier BV}, author={Li, Zongze and Mao, Wenbin}, year={2023}, month=jun, pages={105894} }
|
