MS1-02B Mathematics, Algorithms, and Software for Predictive Digital Twins in CFD
Chaired by:
Dr. Pavel Bochev (Sandia National Laboratories) , Dr. Paul Kuberry (Sandia National Laboratories)
Dr. Pavel Bochev (Sandia National Laboratories) , Dr. Paul Kuberry (Sandia National Laboratories)
Contributions in this session:
-
(Keynote)
GNN-based physics surrogate for predicting PDE solutions
M. D’Elia*, R. Gladstone, H. Meidani, A. Zareei -
Latent space data assimilation with uncertainty quantification using deep learning
N. Mücke*, B. Sanderse, S. Bohté, C. Oosterlee -
Exploiting AI Libraries for Solving Discretised Systems of Partial Differential Equations (AI4HFM): Demonstrated for Stokes Flow
C. Heaney*, B. Chen, J. Xiang, J. Latham, C. Pain -
Grid Adjacency-based Dynamic Mode Decomposition for Fluid Dynamics and Fluid-Structure Interaction Applications
L. Gkimisis*, T. Richter, P. Benner
