Towards unified AI-driven fracture mechanics: the extended deep energy method (XDEM).

Wang Y, Lin Y, Goswami S, Zhao L, Zhang H, Bai J, Anitescu C, Sadegh Eshaghi M, Zhuang X, Rabczuk T, Liu Y

Open source

DOI
10.1038/s41467-026-76748-1
Published
2026 Aug 15
Container
Nature communications
Publisher
Not recorded
Open access
yes

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BibTeX

@article{allodium:10.1038/s41467-026-76748-1,
  title = {Towards unified AI-driven fracture mechanics: the extended deep energy method (XDEM).},
  author = {Wang Y and Lin Y and Goswami S and Zhao L and Zhang H and Bai J and Anitescu C and Sadegh Eshaghi M and Zhuang X and Rabczuk T and Liu Y},
  year = {2026},
  journal = {Nature communications},
  doi = {10.1038/s41467-026-76748-1},
  url = {https://doi.org/10.1038/s41467-026-76748-1}
}

RIS

TY  - JOUR
TI  - Towards unified AI-driven fracture mechanics: the extended deep energy method (XDEM).
AU  - Wang Y
AU  - Lin Y
AU  - Goswami S
AU  - Zhao L
AU  - Zhang H
AU  - Bai J
AU  - Anitescu C
AU  - Sadegh Eshaghi M
AU  - Zhuang X
AU  - Rabczuk T
AU  - Liu Y
PY  - 2026
JO  - Nature communications
DO  - 10.1038/s41467-026-76748-1
UR  - https://doi.org/10.1038/s41467-026-76748-1
ER  - 

APA

Y, W., Y, L., S, G., L, Z., H, Z., J, B., C, A., M, S. E., X, Z., T, R., & Y, L. (2026). Towards unified AI-driven fracture mechanics: the extended deep energy method (XDEM).. Nature communications. https://doi.org/10.1038/s41467-026-76748-1

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