3 citations · 3 across the 2 of their papers we have counts for
2 papers
math.NA2025
Duct boundary conditions for incompressible fluid flows: finite element discretizations and parameter estimation in coronary blood flow
Jeremías Garay, David Nolte, Cristóbal Bertoglio
3D-0D coupled flow models are widely used across many application fields but remain challenging to solve. Implicit coupling introduces non-local terms, whereas explicit coupling re…
cs.CE2023★ 3 cited
Physics-informed neural networks for blood flow inverse problems
Jeremias Garay, Jocelyn Dunstan, Sergio Uribe +1
Physics-informed neural networks (PINNs) have emerged as a powerful tool for solving inverse problems, especially in cases where no complete information about the system is known a…