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:
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ML-based ROMs with Sub-structuring for More Accurate Digital Twins in Complex Applications
D. Manvelyan*, Y. Filanova, P. Benner -
Scientific Machine Learning for Digital Twins in Green Carbon Processes
P. Benner, J. Bremer, I. Gosea*, P. Goyal, L. Peterson, K. Sundmacher -
Neural Subdomain Solver for Magnetostatic Field Computations of a Quadrupole Magnet
M. von Tresckow*, I. Ion, H. De Gersem, D. Loukrezis -
Keynote
Discussion Round - Quo Vadis: Scientific Machine Learning in Industry?
D. Hartmann*, T. Richter
