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Deep learning model to predict complex stress and strain fields in hierarchical composites
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Deep learning predicts mechanical fields in hierarchical composites, as an alternative to conventional numerical methods.
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Metadata
- Authors
- Yang, Z., Yu, C.-H., & Buehler, M. J.
- Venue
- Science Advances
- Published
- 2021-04-09
- Volume
- 7
- Issue
- 15
- ISSN
- 2375-2548 (ISSN-L)
- OpenAlex
- W3145017754
- Cited by
- 389
- References
- 45
- FWCI
- 16.71
- Type
- journal article
- Language
- en
- Open access
- gold
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
