Progress in the field of prosthetic cardiovascular devices has significantly contributed to the
rapid advancements in cardiac therapy during the last four decades. The concept of …

This paper explores the recent advancements in enhancing Computational Fluid Dynamics
(CFD) tasks through Machine Learning (ML) techniques. We begin by introducing …

Anderson, WK, WD Gropp, DK Kaushik, DE Keyes, and BF Smith, 1999: Achieving high
sustained performance in an unstructured mesh CFD application. Proc. Supercomputing …

In recent years, applying deep learning to solve physics problems has attracted much
attention. Data-driven deep learning methods produce operators that can learn solutions to …

A postprocessing technique, developed earlier for spectral methods, is extended here to
Galerkin finite-element methods for dissipative evolution partial differential equations. The …

We propose a 2D hybrid spectral/finite element scheme for numerically resolving crack-
induced contact acoustic nonlinearity in solid structures. While the high-order spectral …

A postprocessing technique for mixed finite-element methods for the incompressible Navier--
Stokes equations is studied. The technique was earlier developed for spectral and standard …

In this paper, we introduce a new multi-GPU-based spectral element (SE) formulation for
simulating ultrasonic wave propagation in solids. To maximize communication efficiency, we …

With the increasing focus on reducing deaths because of heart ailments, considerable
emphasis has been directed toward the development of ventricular assist devices (VADs) …

High-fidelity computational fluid dynamics simulations play an essential role in predicting
complex aerodynamic flow fields, but their employment are hindered due to the high …