
MS163C Scientific Machine Learning - A catalyst for algorithmic performance in industrial computer aided engineering III
MS Corresponding Organizer:
Dr.
Dirk Hartmann
(
Siemens Industry Software GmbH
, Germany
)
Chaired by:
Dr. Dirk Hartmann (Siemens Industry Software GmbH , Germany) , Prof. Thomas Richter (Otto-von-Guericke Universität Magdeburg , Germany)
Dr. Dirk Hartmann (Siemens Industry Software GmbH , Germany) , Prof. Thomas Richter (Otto-von-Guericke Universität Magdeburg , Germany)
Scheduled presentations:
-
ML-based ROMs with Sub-structuring for More Accurate Digital Twins in Complex Applications
-
Scientific Machine Learning for Digital Twins in Green Carbon Processes
-
Neural Subdomain Solver for Magnetostatic Field Computations of a Quadrupole Magnet
-
Keynote
Discussion Round - Quo Vadis: Scientific Machine Learning in Industry?