ML-supported Design Methods for Determining Permissible Input Variables for Crash Simulation using the Example of FEM (Präsentation zur Master Thesis)
Julian Haluska, TU Dresden, 2020.
- Products
- Simulation Data Management
- Products
- Simulation Data Management
- Career
- Company
Back
- Products
- Simulation Data Management
- Career
Publications
Papers and slides on the latest developments in simulation data management and our software solutions can be found here.
Erkennung von FEM-Geometrien mit Methoden des Maschinellen Lernens (Präsentation zur Master Thesis)
Nick Scheider
TU Dresden, 2020. ML-supported Design Methods for Determining Permissible Input Variables for Crash Simulation using the Example of FEM (Master Thesis)
Julian Haluska,
TU Dresden, 2020.
Application of Machine Learning Techniques through Simulation Data Management (Slides)
Marko Thiele (SCALE)
VDI-Fachkongress Automotive CAE, Baden-Baden, November 2019.
Parameter prediction and automated generation of joining technologies in CAX applications of automotive car bodies
Maximilian Knorr, Universität Stuttgart, 2019.
Personal consultation
We would like to know more about you and your project. Please use our contact form or get in touch with one of our contacts directly.
- Simulation Data Management
- Simulation Data Management
- Simulation Data Management
