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20212026
most citedLearning Reduced-Order Models for Cardiovascular Simulations with Graph Neural Networks

2 citations · 2 across the 4 of their papers we have counts for

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cs.CE2026

Accelerated Patient-Specific Hemodynamic Simulations with Hybrid Physics-Based Neural Surrogates

Natalia L. Rubio, Eric F. Darve, Alison L. Marsden

Physics-based 0D reduced-order models provide computationally lightweight predictions of cardiovascular flows, resolving bulk hemodynamics in fractions of a second that would take…