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A Generative Modeling Framework for Inferring Families of Biomechanical Constitutive Laws in Data-Sparse Regimes


Journal article


Minglang Yin, Zongren Zou, Enrui Zhang, C. Cavinato, J. Humphrey, G. Karniadakis
Journal of the mechanics and physics of solids, 2023

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APA   Click to copy
Yin, M., Zou, Z., Zhang, E., Cavinato, C., Humphrey, J., & Karniadakis, G. (2023). A Generative Modeling Framework for Inferring Families of Biomechanical Constitutive Laws in Data-Sparse Regimes. Journal of the Mechanics and Physics of Solids.


Chicago/Turabian   Click to copy
Yin, Minglang, Zongren Zou, Enrui Zhang, C. Cavinato, J. Humphrey, and G. Karniadakis. “A Generative Modeling Framework for Inferring Families of Biomechanical Constitutive Laws in Data-Sparse Regimes.” Journal of the mechanics and physics of solids (2023).


MLA   Click to copy
Yin, Minglang, et al. “A Generative Modeling Framework for Inferring Families of Biomechanical Constitutive Laws in Data-Sparse Regimes.” Journal of the Mechanics and Physics of Solids, 2023.


BibTeX   Click to copy

@article{minglang2023a,
  title = {A Generative Modeling Framework for Inferring Families of Biomechanical Constitutive Laws in Data-Sparse Regimes},
  year = {2023},
  journal = {Journal of the mechanics and physics of solids},
  author = {Yin, Minglang and Zou, Zongren and Zhang, Enrui and Cavinato, C. and Humphrey, J. and Karniadakis, G.}
}


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