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Recent Submissions
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Data augmentation for the POD formulation of the parametric laminar incompressible navier–stokes equations
(John Wiley & sons, 2025-01-15)
Article
Open AccessA posteriori reduced-order models (ROM), for example, based on proper orthogonal decomposition (POD), are essential to affordably tackle realistic parametric problems. They rely on a trustful training set, that is a family ... -
Machine learning and statistical shape modelling for real-time prediction of stent deployment in realistic anatomies
(2025-03-01)
Article
Open AccessBackground and Objective. The rise in minimally invasive procedures has created a demand for efficient and reliable planning software to predict intra- and post-operative outcomes. Surrogate modelling has shown promise, ... -
Competing elastic and viscous gradients determine directional cell migration
(2025-02-01)
Article
Open AccessCell migration regulates central life processes including embryonic development, tissue regeneration, and tumor invasion. To establish the direction of migration, cells follow exogenous cues. Durotaxis, the directed cell ... -
The pathway to net-zero emission in aviation – How much can we rely on sustainable aviation fuel?
(Elsevier, 2024-10-03)
Article
Open AccessThe aviation industry is under constant pressure to reduce its environmental footprint and eventually achieve net-zero carbon emissions by 2050. In order to accomplish this ambitious but necessary goal, a variety of measures ... -
A comparison of formulations and non-linear solvers for computational modeling of semiconductor devices
(Springer, 2024-11-23)
Article
Open AccessThe drift-diffusion formulation, modelling semiconductor materials in terms of carrier densities and electric potential, is considered together with an alternative formulation in terms of dimensionless logarithmic quantities. ... -
Physics-informed graph neural networks to solve 1-D equations of blood flow
(2024-12-01)
Article
Open AccessBackground and Objective: Computational models of hemodynamics can contribute to optimizing surgical plans, and improve our understanding of cardiovascular diseases. Recently, machine learning methods have become essential ... -
Physically consistent temperature fields for geophysical inversion based on the parametrized location of an isotherm
(2024-09-02)
Article
Open AccessPurpose: This paper aims to provide a method for obtaining physically sound temperature fields to be used in geophysical inversions in the presence of immersed essential conditions. Design/methodology/approach: The method ... -
3D micropatterned traction force microscopy: a technique to control 3D cell shape while measuring well-substrate force transmission
(John Wiley & sons, 2024-12-11)
Article
Open AccessCell shape and function are intimately linked, in a way that is mediated by the forces exerted between cells and their environment. The relationship between cell shape and forces has been extensively studied for cells ... -
Machine learning-based pulse wave analysis for classification of circle of Willis topology: an in silico study with 30,618 virtual subjects
(2025-02-01)
Article
Open AccessBackground and Objective: The topology of the circle of Willis (CoW) is crucial in cerebral circulation and significantly impacts patient management. Incomplete CoW structures increase stroke risk and post-stroke damage. ... -
A first-order hyperbolic arbitrary Lagrangian Eulerian conservation formulation for non-linear solid dynamics
(John Wiley & sons, 2024-08-15)
Article
Open AccessThe paper introduces a computational framework using a novel Arbitrary Lagrangian Eulerian (ALE) formalism in the form of a system of first-order conservation laws. In addition to the usual material and spatial configurations, ... -
A first-order hyperbolic Arbitrary Lagrangian Eulerian conservation formulation for nonlinear solid dynamics in irreversible processes
(2024-12-01)
Article
Open AccessThe paper introduces a computational framework that makes use of a novel Arbitrary Lagrangian Eulerian (ALE) conservation law formulation for nonlinear solid dynamics. In addition to the standard mass conservation law and ... -
Cell response to extracellular matrix viscous energy dissipation outweighs high-rigidity sensing
(2024-11-15)
Article
Open AccessThe mechanics of the extracellular matrix (ECM) determine cell activity and fate through mechanoresponsive proteins including Yes-associated protein 1 (YAP). Rigidity and viscous relaxation have emerged as the main mechanical ...