Cargando…
Stacking fault energy prediction for austenitic steels: thermodynamic modeling vs. machine learning
Stacking fault energy (SFE) is of the most critical microstructure attribute for controlling the deformation mechanism and optimizing mechanical properties of austenitic steels, while there are no accurate and straightforward computational tools for modeling it. In this work, we applied both thermod...
| Autores principales: | , |
|---|---|
| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Taylor & Francis
2020
|
| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7534312/ https://www.ncbi.nlm.nih.gov/pubmed/33061835 http://dx.doi.org/10.1080/14686996.2020.1808433 |