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The BiGmax Workshop 2021 on Big-Data-Driven Materials Science will be held virtually from April 14 - 15, 2021.
The workshop is aimed at presenting results and new insights into data-driven materials science. Those can be based on approaches in statistical and machine learning, compressed sensing and other recent technologies from mathematics, computer science, statistics and information technology.| Date | Speaker(s) | Title |
|---|---|---|
| 20.04.21 | Tommaso Taddei (INRIA Bordeaux South-West) | Registration-based model reduction of parameterized advection-dominated PDEs |
| 27.04.21 Time: 16:00 | Ion Victor Gosea & Dimitrios Karachalios | TBA |
| Date | Speaker(s) | Title |
|---|---|---|
| 12.05.21 | Team NLMA | Automatic Differentiation (Tim) Eigenvalue Problems in Physics (Caro) |
| 14.07.21 | Team (MOR) | A comprehensive deep learning-based approach to reduced order modeling of nonlinear time-dependent parametrized PDEs (Sridhar) Deep convolutional recurrent autoencoders for learning low-dimensional feature dynamics of fluid systems (Harshit) |