Martin R Pfaller,Marcos Latorre,Erica L Schwarz et al. Martin R Pfaller et al.

Equilibrated fluid-solid-growth (FSGe) is a fast, open source, three-dimensional (3D) computational platform for simulating interactions between instantaneous hemodynamics and long-term vessel wall adaptation through mechanobiologically equ...

Andrea Zanoni,Gianluca Geraci,Metteo Salvador et al. Andrea Zanoni et al.

We study the problem of multifidelity uncertainty propagation for computationally expensive models. In particular, we consider the general setting where the high-fidelity and low-fidelity models have a dissimilar parameterization both in te...

Fannie M Gerosa,Alison L Marsden Fannie M Gerosa

Fluid-structure interaction with contact poses profound mathematical and numerical challenges, particularly when considering realistic contact scenarios and the influence of surface roughness. Computationally, contact introduces challenges ...

William G Gray,Cass T Miller William G Gray

Comments are provided on the recent paper by Ebadi et al. [3], which demonstrates that the formulated model that was solved contains misconceptions or errors that render the work unsuitable for describing the evolution of interfacial areas ...

Aaron L Brown,Matteo Salvador,Lei Shi et al. Aaron L Brown et al.

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 efficient technique is to use an electrical circuit analogy, kno...

Arif Masud,Sharbel Nashar,Shoaib Goraya Arif Masud

This paper presents a data-driven discrepancy modeling method that variationally embeds measured data in the modeling and analysis framework. The proposed method exploits the residual between the first-principles theory and sensor-based mea...

Liang Liang,Minliang Liu,John Elefteriades et al. Liang Liang et al.

Patient-specific finite element analysis (FEA) holds great promise in advancing the prognosis of cardiovascular diseases by providing detailed biomechanical insights such as high-fidelity stress and deformation on a patient-specific basis. ...

Abu Hasnat Mohammad Rubaiyat,Duy H Thai,Jonathan M Nichols et al. Abu Hasnat Mohammad Rubaiyat et al.

This paper presents a novel data-driven approach to identify partial differential equation (PDE) parameters of a dynamical system. Specifically, we adopt a mathematical "transport" model for the solution of the dynamical system at specific ...

Lu Zhang,Huaiqian You,Tian Gao et al. Lu Zhang et al.

Gradient-based meta-learning methods have primarily been applied to classical machine learning tasks such as image classification. Recently, PDE-solving deep learning methods, such as neural operators, are starting to make an important impa...

Michael J Johnson,Michael R A Abdelmalik,Frimpong A Baidoo et al. Michael J Johnson et al.

The glymphatic system is a brain-wide system of perivascular networks that facilitate exchange of cerebrospinal fluid (CSF) and interstitial fluid (ISF) to remove waste products from the brain. A greater understanding of the mechanisms for ...