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07/24/2023
Computational modeling of in-stent restenosis: Pharmacokinetic and pharmacodynamic evaluation
Persistence of the pathology of in-stent restenosis even with the advent...
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07/23/2023
Mechanical modeling of the maturation process for tissue-engineered implants: application to biohybrid heart valves
The development of tissue-engineered cardiovascular implants can improve...
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02/09/2023
Mixed formulation of physics-informed neural networks for thermo-mechanically coupled systems and heterogeneous domains
Deep learning methods find a solution to a boundary value problem by def...
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07/13/2022
Model-Free Data-Driven Inference in Computational Mechanics
We extend the model-free Data-Driven computing paradigm to solids and st...
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06/27/2022
A mixed formulation for physics-informed neural networks as a potential solver for engineering problems in heterogeneous domains: comparison with finite element method
Physics-informed neural networks (PINNs) are capable of finding the solu...
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04/05/2022
A multiphysics modeling approach for in-stent restenosis: Theoretical aspects and finite element implementation
Development of in silico models are intrinsic in understanding disease p...
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02/25/2022
Modeling moving boundary value problems in electrochemical machining
This work presents a new approach to efficiently model the cathode in th...
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08/28/2021
An anisotropic cohesive fracture model: advantages and limitations of length-scale insensitive phase-field damage models
The goal of the current work is to explore direction-dependent damage in...
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03/18/2021
A geometrically adapted reduced set of frequencies for a FFT-based microstructure simulation
We present a modified model order reduction (MOR) technique for the FFT-...
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03/15/2021
A novel approach for the efficient modeling of material dissolution in electrochemical machining
This work presents a novel approach to efficiently model anodic dissolut...
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12/05/2020
Finite element modelling of in-stent restenosis
From the perspective of coronary heart disease, the development of stent...
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12/01/2020
Efficient Data Structures for Model-free Data-Driven Computational Mechanics
The data-driven computing paradigm initially introduced by Kirchdoerfer ...
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04/06/2020
Model-free Data-Driven Computational Mechanics Enhanced by Tensor Voting
The data-driven computing paradigm initially introduced by Kirchdoerfer ...
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04/06/2020
Model-free Data-Driven Compuational Mechanics Enhanced by Tensor Voting
The data-driven computing paradigm initially introduced by Kirchdoerfer ...
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08/31/2018
