Uncovering stress fields and defects distributions in graphene using deep neural networks.
- Published in:
- International Journal of Fracture, 2023, v. 242, n. 1, p. 107, doi. 10.1007/s10704-023-00704-z
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- Publication type:
- Article
Works matching IS 03769429 AND DT 2023 AND VI 242 AND IP 1
Results: 6
1
2
Revisiting facet nucleation under mixed mode I + III loading with T-stress and mode-dependent fracture properties.
- Published in:
- International Journal of Fracture, 2023, v. 242, n. 1, p. 85, doi. 10.1007/s10704-023-00703-0
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- Publication type:
- Article
3
The strain gradient viscoelasticity full field solution of mode-III crack problem.
- Published in:
- International Journal of Fracture, 2023, v. 242, n. 1, p. 71, doi. 10.1007/s10704-023-00702-1
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- Publication type:
- Article
4
Ductile tearing of aluminium plates: experiments and modelling.
- Published in:
- International Journal of Fracture, 2023, v. 242, n. 1, p. 39, doi. 10.1007/s10704-023-00701-2
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- Publication type:
- Article
5
The delayed fracture test for viscoelastic elastomers.
- Published in:
- International Journal of Fracture, 2023, v. 242, n. 1, p. 23, doi. 10.1007/s10704-023-00700-3
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- Publication type:
- Article
6
Enhanced resistance of mode II fracture by nonlocal interactions in 2D locally resonant elastic wave metamaterials.
- Published in:
- International Journal of Fracture, 2023, v. 242, n. 1, p. 1, doi. 10.1007/s10704-023-00699-7
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- Publication type:
- Article