activity
20232026
most citedFSGe: A fast and strongly-coupled 3D fluid-solid-growth interaction method

21 citations · 24 across the 8 of their papers we have counts for

collaborators

9 papers

physics.flu-dyn2026

svMultiPhysics: a finite element-based solver for cardiovascular simulations

David Codoni, Sujal Dave, David W. Parker +10

Heart disease remains the leading cause of death in the United States, motivating extensive efforts to improve its diagnosis, treatment, and prevention. Over the past decade, compu…

cs.CE2025

Influence of coronary plaque morphology on local mechanical states and associated in-stent restenosis

Janina C. Datz, Ivo Steinbrecher, Johannes Krefting +5

In-stent restenosis (ISR) after percutaneous coronary intervention is a multi-factorial process. Specific morphological lesion characteristics were observed to contribute to the oc…

cs.CE2024

Patient-specific coronary angioplasty simulations -- a mixed-dimensional finite element modeling approach

Janina C. Datz, Ivo Steinbrecher, Christoph Meier +6

Coronary angioplasty with stent implantation is the most frequently used interventional treatment for coronary artery disease. However, reocclusion within the stent, referred to as…

cs.CE2024★ 2 cited

Bayesian Windkessel calibration using optimized 0D surrogate models

Jakob Richter, Jonas Nitzler, Luca Pegolotti +6

Boundary condition (BC) calibration to assimilate clinical measurements is an essential step in any subject-specific simulation of cardiovascular fluid dynamics. Bayesian calibrati…

cs.CE2024★ 21 cited

FSGe: A fast and strongly-coupled 3D fluid-solid-growth interaction method

Martin R. Pfaller, Marcos Latorre, Erica L. Schwarz +4

Equilibrated fluid-solid-growth (FSGe) is a fast, open source, three-dimensional (3D) computational platform for simulating interactions between instantaneous hemodynamics and long…

q-bio.TO2024

Adaptive integration of history variables in constrained mixture models for organ-scale growth and remodeling

Amadeus M. Gebauer, Martin R. Pfaller, Jason M. Szafron +1

In the last decades, many computational models have been developed to predict soft tissue growth and remodeling (G&R). The constrained mixture theory describes fundamental mechanob…

cs.CE2024

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…

physics.med-ph2023

A Probabilistic Neural Twin for Treatment Planning in Peripheral Pulmonary Artery Stenosis

John D. Lee, Jakob Richter, Martin R. Pfaller +8

The substantial computational cost of high-fidelity models in numerical hemodynamics has, so far, relegated their use mainly to offline treatment planning. New breakthroughs in dat…

math.NA2023★ 1 cited

A Modular Framework for Implicit 3D-0D Coupling in Cardiac Mechanics

Aaron L. Brown, Matteo Salvador, Lei Shi +6

In numerical simulations of cardiac mechanics, coupling the heart to a model of the circulatory system is essential for capturing physiological cardiac behavior. A popular and effi…