Grain-level micromechanical modeling and assessment of fatigue-critical pores using graph neural networks.
- DOI
- 10.1038/s41524-026-02148-0
- Published
- 2026
- Container
- npj computational materials
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1038/s41524-026-02148-0,
title = {Grain-level micromechanical modeling and assessment of fatigue-critical pores using graph neural networks.},
author = {Loiodice L and Stopka KS and Sun Y and Lin G and Sangid MD},
year = {2026},
journal = {npj computational materials},
doi = {10.1038/s41524-026-02148-0},
url = {https://doi.org/10.1038/s41524-026-02148-0}
}RIS
TY - JOUR TI - Grain-level micromechanical modeling and assessment of fatigue-critical pores using graph neural networks. AU - Loiodice L AU - Stopka KS AU - Sun Y AU - Lin G AU - Sangid MD PY - 2026 JO - npj computational materials DO - 10.1038/s41524-026-02148-0 UR - https://doi.org/10.1038/s41524-026-02148-0 ER -
APA
L, L., KS, S., Y, S., G, L., & MD, S. (2026). Grain-level micromechanical modeling and assessment of fatigue-critical pores using graph neural networks.. npj computational materials. https://doi.org/10.1038/s41524-026-02148-0
Source records
- pubmed · retrieved 2026-09-25T19:42:10.930Z