Deep Learning Models for Accelerating Phase-Field Simulations
Explore the source record for details and available documents.
Bonneville, Christophe Pol Andre↗
Engineering topics
Safta, Cosmin
Publications and source records attributed to Safta, Cosmin.
Accelerating Phase Field Simulations Through a Hybrid Adaptive Fourier Neural Operator with U-Net Backbone
Explore the source record for details and available documents.
Bonneville, Christophe Pol Andre↗
Accelerating Phase Field Simulations for Liquid Metal De-alloying Using Adaptive Fourier Neural Operators and U-Nets
Explore the source record for details and available documents.
Bonneville, Christophe Pol Andre↗
Prime VI
SAND2025-03757O Prime VI is a distribution-of-disease outbreak model calibration code based on variational inference. It accompanies a publication for submission to Statistics in Medicine journal, and the code will be maintained for open-source use on Sandia's GitLab. The software provides methods for calibrating an epidemiological model to measured case-count data for a multitude of correlated spatial regions. The code solves a Bayesian inverse problem for model calibration where the posterior over-model parameters are approximated through a custom implementation of variational inference. Sandia National Laboratories is a multimission laboratory managed and operated by National Technology & Engineering Solutions of Sandia, LLC, a wholly owned subsidiary of Honeywell International Inc., for the U.S. Department of Energy’s National Nuclear Security Administration under contract DE-NA0003525.
Safta, Cosmin↗
Accelerating Phase Field Simulations Through a Hybrid Adaptive Fourier Neural Operator with U-Net Backbone
Explore the source record for details and available documents.
Bonneville, Christophe Pol Andre↗