NeuraConnect Lab

Understanding the networked brain through its injury

Automated data-driven discovery of material models based on symbolic regression: A case study on the human brain cortex


Journal article


Jixin Hou, Xianyan Chen, Taotao Wu, Ellen Kuhl, Xianqiao Wang
Acta Biomaterialia, vol. 188, 2024, pp. 276-296


Cite

Cite

APA   Click to copy
Hou, J., Chen, X., Wu, T., Kuhl, E., & Wang, X. (2024). Automated data-driven discovery of material models based on symbolic regression: A case study on the human brain cortex. Acta Biomaterialia, 188, 276–296. https://doi.org/10.1016/j.actbio.2024.09.005


Chicago/Turabian   Click to copy
Hou, Jixin, Xianyan Chen, Taotao Wu, Ellen Kuhl, and Xianqiao Wang. “Automated Data-Driven Discovery of Material Models Based on Symbolic Regression: A Case Study on the Human Brain Cortex.” Acta Biomaterialia 188 (2024): 276–296.


MLA   Click to copy
Hou, Jixin, et al. “Automated Data-Driven Discovery of Material Models Based on Symbolic Regression: A Case Study on the Human Brain Cortex.” Acta Biomaterialia, vol. 188, 2024, pp. 276–96, doi:10.1016/j.actbio.2024.09.005.


BibTeX   Click to copy

@article{hou2024a,
  title = {Automated data-driven discovery of material models based on symbolic regression: A case study on the human brain cortex},
  year = {2024},
  journal = {Acta Biomaterialia},
  pages = {276-296},
  volume = {188},
  doi = {10.1016/j.actbio.2024.09.005},
  author = {Hou, Jixin and Chen, Xianyan and Wu, Taotao and Kuhl, Ellen and Wang, Xianqiao}
}