39 citations · 74 across the 10 of their papers we have counts for
5 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…
Seismic Modeling and Migration with Random Boundaries on the NEC SX-Aurora TSUBASA
Carlos H. S. Barbosa, Alvaro L. G. A. Coutinho
Seismic imaging is a computationally demanding and data-intensive activity in the oil and gas industry. Reverse Time Migration (RTM) used in seismic applications needs to store the…
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…