Thomas, A., Durmaz, A. R., Alam, M., Gumbsch, P., Sack, H., & Eberl, C. [ca. 2024]. Materials fatigue prediction using graph neural networks on microstructure representations [Cd]. Freiburg: Universität. https://doi.org/10.1038/s41598-023-39400-2
ISO-690 (author-date, English)THOMAS, Akhil, DURMAZ, Ali Riza, ALAM, Mehwish, GUMBSCH, Peter, SACK, Harald und EBERL, Christoph, 2024. Materials fatigue prediction using graph neural networks on microstructure representations. Freiburg: Universität.
Modern Language Association 9th editionThomas, A., A. R. Durmaz, M. Alam, P. Gumbsch, H. Sack, und C. Eberl. Materials fatigue prediction using graph neural networks on microstructure representations. cd, Universität, 2024, https://doi.org/10.1038/s41598-023-39400-2.
Mohr Siebeck - Recht (Deutsch - Österreich)Thomas, Akhil/Durmaz, Ali Riza/Alam, Mehwish/Gumbsch, Peter/Sack, Harald/Eberl, Christoph: Materials fatigue prediction using graph neural networks on microstructure representations, Freiburg 2024.
Emerald - HarvardThomas, A., Durmaz, A.R., Alam, M., Gumbsch, P., Sack, H. und Eberl, C. (2024), Materials fatigue prediction using graph neural networks on microstructure representations, Bd. , Universität, Freiburg, verfügbar unter:https://doi.org/10.1038/s41598-023-39400-2.