An extension of our physics-informed deep learning algorithm using systems of ordinary differential equations (ODEs) has been recently submitted to bioRxiv. In this systems-biology-informed framework (found…
Our new work on physics-informed machine learning has been published online. It is an exciting work to infer hidden quantities of interest such as velocity…
Our data-driven numerical study of thrombus formation in aortic dissections entitled “Data-driven Modeling of Hemodynamics and its Role on Thrombus Size and Shape in Aortic…
