4 citations · 6 across the 5 of their papers we have counts for
6 papers
QUEENS: An Open-Source Python Framework for Solver-Independent Analyses of Large-Scale Computational Models
Jonas Biehler, Jonas Nitzler, Sebastian Brandstaeter +7
A growing challenge in research and industrial engineering applications is the need for repeated, systematic analysis of large-scale computational models, for example, patient-spec…
Patient-specific prediction of regional lung mechanics in ARDS patients with physics-based models: a validation study
Maximilian Rixner, Maximilian Ludwig, Matthias Lindner +9
The choice of lung protective ventilation settings for mechanical ventilation has a considerable impact on patient outcome, yet identifying optimal ventilatory settings for individ…
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…
In silico high-resolution whole lung model to predict the locally delivered dose of inhaled drugs
Maximilian J. Grill, Jonas Biehler, Karl-Robert Wichmann +8
The big crux with drug delivery to human lungs is that the delivered dose at the local site of action is unpredictable and very difficult to measure, even a posteriori. It is highl…
Weighted high dimensional data reduction of finite Element Features -- An Application on High Pressure of an Abdominal Aortic Aneurysm
Christoph Striegel, Göran Kauermann, Jonas Biehler
In this work we propose a low rank approximation of high fidelity finite element simulations by utilizing weights corresponding to areas of high stress levels for an abdominal aort…
A Generalized Probabilistic Learning Approach for Multi-Fidelity Uncertainty Propagation in Complex Physical Simulations
Jonas Nitzler, Jonas Biehler, Niklas Fehn +2
Two of the most significant challenges in uncertainty quantification pertain to the high computational cost for simulating complex physical models and the high dimension of the ran…