52 citations · 125 across the 11 of their papers we have counts for
15 papers
Inelastic Constitutive Kolmogorov-Arnold Networks: A generalized framework for automated discovery of interpretable inelastic material models
Chenyi Ji, Kian P. Abdolazizi, Hagen Holthusen +2
A key problem of solid mechanics is the identification of the constitutive law of a material, that is, the relation between strain history and stress. Machine learning has lead to…
Machine-learned domain partitioning for computationally efficient coupling of continuum and particle simulations of membrane fabrication
Matthias Busch, Gregor Häfner, Jiayu Xie +4
All simulation approaches eventually face limits in computational scalability when applied to large spatiotemporal domains. This challenge becomes especially apparent in molecular-…
Electromechanical computational model of the human stomach
Maire S. Henke, Sebastian Brandstaeter, Sebastian L. Fuchs +3
The stomach plays a central role in digestion through coordinated muscle contractions, known as gastric peristalsis, driven by slow-wave electrophysiology. Understanding this proce…
A 3D-1D-0D Multiscale Model of the Neuro-Glial-Vascular Unit for Synaptic and Vascular Dynamics in the Dorsal Vagal Complex
Alexander Hermann, Tobias Köppl, Andreas Wagner +5
Cerebral blood flow regulation is critical for brain function, and its disruption is implicated in various neurological disorders. Many existing models do not fully capture the com…
Constitutive Kolmogorov-Arnold Networks (CKANs): Combining Accuracy and Interpretability in Data-Driven Material Modeling
Kian P. Abdolazizi, Roland C. Aydin, Christian J. Cyron +1
Hybrid constitutive modeling integrates two complementary approaches for describing and predicting a material's mechanical behavior: purely data-driven black-box methods and physic…
A Calibration Approach for Elasticity Estimation with Medical Tools
Sarah Grube, Maximilian Neidhardt, Anna-Katarina Herrmann +5
Soft tissue elasticity is directly related to different stages of diseases and can be used for tissue identification during minimally invasive procedures. By palpating a tissue wit…
ECToNAS: Evolutionary Cross-Topology Neural Architecture Search
Elisabeth J. Schiessler, Roland C. Aydin, Christian J. Cyron
We present ECToNAS, a cost-efficient evolutionary cross-topology neural architecture search algorithm that does not require any pre-trained meta controllers. Our framework is able…
Viscoelastic Constitutive Artificial Neural Networks (vCANNs) a framework for data-driven anisotropic nonlinear finite viscoelasticity
Kian P. Abdolazizi, Kevin Linka, Christian J. Cyron
The constitutive behavior of polymeric materials is often modeled by finite linear viscoelastic (FLV) or quasi-linear viscoelastic (QLV) models. These popular models are simplifica…
Ultrasound Shear Wave Elasticity Imaging with Spatio-Temporal Deep Learning
Maximilian Neidhardt, Marcel Bengs, Sarah Latus +4
Ultrasound shear wave elasticity imaging is a valuable tool for quantifying the elastic properties of tissue. Typically, the shear wave velocity is derived and mapped to an elastic…
A homogenized constrained mixture model of cardiac growth and remodeling: Analyzing mechanobiological stability and reversal
Amadeus M. Gebauer, Martin R. Pfaller, Fabian A. Braeu +2
Cardiac growth and remodeling (G&R) patterns change ventricular size, shape, and function both globally and locally. Biomechanical, neurohormonal, and genetic stimuli drive these p…
A Versatile SPH Modeling Framework for Coupled Microfluid-Powder Dynamics in Additive Manufacturing: Binder Jetting, Material Jetting, Directed Energy Deposition and Powder Bed Fusion
Sebastian L. Fuchs, Patrick M. Praegla, Christian J. Cyron +2
Many additive manufacturing (AM) technologies rely on powder feedstock, which is fused to form the final part either by melting or by chemical binding with subsequent sintering. In…
What do cells regulate in soft tissues on short time scales?
Jonas F. Eichinger, Daniel Paukner, Roland C. Aydin +3
Cells within living soft biological tissues seem to promote the maintenance of a mechanical state within a defined range near a so-called set-point. This mechanobiological process…
A computational framework for modeling cell-matrix interactions in soft biological tissues
Jonas F. Eichinger, Maximilian J. Grill, Iman Davoodi Kermani +4
Living soft tissues appear to promote the development and maintenance of a preferred mechanical state within a defined tolerance around a so-called set-point. This phenomenon is of…
An SPH framework for fluid-solid and contact interaction problems including thermo-mechanical coupling and reversible phase transitions
Sebastian L. Fuchs, Christoph Meier, Wolfgang A. Wall +1
The present work proposes an approach for fluid-solid and contact interaction problems including thermo-mechanical coupling and reversible phase transitions. The solid field is ass…
A novel smoothed particle hydrodynamics and finite element coupling scheme for fluid-structure interaction: the sliding boundary particle approach
Sebastian L. Fuchs, Christoph Meier, Wolfgang A. Wall +1
A novel numerical formulation for solving fluid-structure interaction (FSI) problems is proposed where the fluid field is spatially discretized using smoothed particle hydrodynamic…