Persistence of the pathology of in-stent restenosis even with the advent...
The development of tissue-engineered cardiovascular implants can improve...
Deep learning methods find a solution to a boundary value problem by def...
We extend the model-free Data-Driven computing paradigm to solids and
st...
Physics-informed neural networks (PINNs) are capable of finding the solu...
Development of in silico models are intrinsic in understanding disease
p...
This work presents a new approach to efficiently model the cathode in th...
The goal of the current work is to explore direction-dependent damage
in...
We present a modified model order reduction (MOR) technique for the FFT-...
This work presents a novel approach to efficiently model anodic dissolut...
From the perspective of coronary heart disease, the development of stent...
The data-driven computing paradigm initially introduced by Kirchdoerfer ...
The data-driven computing paradigm initially introduced by Kirchdoerfer ...
The data-driven computing paradigm initially introduced by Kirchdoerfer ...
We extend the Data-Driven formulation of problems in elasticity of
Kirch...