39 citations · 61 across the 9 of their papers we have counts for
4 papers · 1 filter
Enhancing Dynamic Mode Decomposition Workflow with In-Situ Visualization and Data Compression
Gabriel F. Barros, Malú Grave, José J. Camata +1
Modern computational science and engineering applications are being improved by the advances in scientific machine learning. Data-driven methods such as Dynamic Mode Decomposition…
Modeling nonlocal behavior in epidemics via a reaction-diffusion system incorporating population movement along a network
Malú Grave, Alex Viguerie, Gabriel F. Barros +3
The outbreak of COVID-19, beginning in 2019 and continuing through the time of writing, has led to renewed interest in the mathematical modeling of infectious disease. Recent works…
Data-driven simulation of Fisher-Kolmogorov tumor growth models using Dynamic Mode Decomposition
Alex Viguerie, Malú Grave, Gabriel F. Barros +3
The computer simulation of organ-scale biomechanistic models of cancer personalized via routinely collected clinical and imaging data enables to obtain patient-specific predictions…
Comparing the convected level-set and the Allen-Cahn phase-field methods in AMR/C simulations of two-phase flows
Malú Grave, Alvaro L. G. A. Coutinho
The modeling and simulation of two-phase flows is still an active research area, mainly when surface tension is present. One way to model the different phases is with interface cap…