Abstract We introduce Branched Latent Neural Maps (BLNMs) to learn finite dimensional
input–output maps encoding complex physical processes. A BLNM is defined by a simple …

Single ventricle patients, including those with hypoplastic left heart syndrome (HLHS),
typically undergo three palliative heart surgeries culminating in the Fontan procedure. HLHS …

Approximating the fast dynamics of depolarization waves in the human heart described by
the monodomain model is numerically challenging. Splitting methods for the PDE‐ODE …

We present a new explicit local space–time adaptive framework to decrease the time
required for monodomain simulations for cardiac electrophysiology. Based on the localized …

Background: Ventricular tachycardia (VT) is a life-threatening heart condition commonly
seen in patients with myocardial infarction (MI). Although personalized computational …

Mathematical models of the human heart increasingly play a vital role in understanding the
working mechanisms of the heart, both under healthy functioning and during disease. The …

We introduce Branched Latent Neural Operators (BLNOs) to learn input-output maps
encoding complex physical processes. A BLNO is defined by a simple and compact …

We present a new explicit local space-time adaptive framework to decrease the time
required for monodomain simulations for cardiac electrophysiology. Based on the localized …

Cardiovascular diseases (CVDs) are the leading cause of death globally, accounting for an
estimated 17.9 million deaths in 2019. CVDs are a group of disorders that affect the heart …