2 citations · 3 across the 7 of their papers we have counts for
3 papers · 1 filter
Data-Driven Bifurcation Handling in Physics-Based Reduced-Order Vascular Hemodynamic Models
Natalia L. Rubio, Eric F. Darve, Alison L. Marsden
Three-dimensional (3D) finite-element simulations of cardiovascular flows provide high-fidelity predictions to support cardiovascular medicine, but their high computational cost li…
Multi-fidelity Hamiltonian Monte Carlo
Dhruv V. Patel, Jonghyun Lee, Matthew W. Farthing +2
Numerous applications in biology, statistics, science, and engineering require generating samples from high-dimensional probability distributions. In recent years, the Hamiltonian…
Hybrid Physics-Based and Data-Driven Modeling of Vascular Bifurcation Pressure Differences
Natalia L. Rubio, Luca Pegolotti, Martin R. Pfaller +2
Reduced-order models (ROMs) allow for the simulation of blood flow in patient-specific vasculatures without the high computational cost and wait time associated with traditional co…