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Precise, efficient and flexible modeling of crystallizing elastomers based on physics-augmented neural networks

Research output: Contribution to journal › Research article › Contributed › peer-review

Contributors

Konrad Friedrichs - , Chair of Computational and Experimental Solid Mechanics (Author)
Franz Dammaß - , Chair of Computational and Experimental Solid Mechanics (Author)
Karl A. Kalina - , Chair of Computational and Experimental Solid Mechanics (Author)
Markus Kästner - , Chair of Computational and Experimental Solid Mechanics, Dresden Center for Computational Materials Science (DCMS) (Author)

Details

Original language	English
Article number	118852
Journal	Computer Methods in Applied Mechanics and Engineering
Volume	455
Publication status	Published - Jun 2026
Peer-reviewed	Yes

External IDs

ORCID	/0000-0003-3358-1545/work/208794782
ORCID	/0009-0001-0969-4024/work/208796481
unpaywall	10.1016/j.cma.2026.118852

Keywords