Holthusen, Hagen, Brepols, Tim, Linka, Kevin, and Kuhl, Ellen. Automated model discovery for tensional homeostasis: Constitutive machine learning in growth and remodeling. Retrieved from https://par.nsf.gov/biblio/10601109. Computers in Biology and Medicine 186.C Web. doi:10.1016/j.compbiomed.2025.109691.

Holthusen, Hagen, Brepols, Tim, Linka, Kevin, & Kuhl, Ellen. Automated model discovery for tensional homeostasis: Constitutive machine learning in growth and remodeling. Computers in Biology and Medicine, 186 (C). Retrieved from https://par.nsf.gov/biblio/10601109. https://doi.org/10.1016/j.compbiomed.2025.109691

Holthusen, Hagen, Brepols, Tim, Linka, Kevin, and Kuhl, Ellen. "Automated model discovery for tensional homeostasis: Constitutive machine learning in growth and remodeling". Computers in Biology and Medicine 186 (C). Country unknown/Code not available: Elsevier. https://doi.org/10.1016/j.compbiomed.2025.109691. https://par.nsf.gov/biblio/10601109.

@article{osti_10601109,
place = {Country unknown/Code not available}, title = {Automated model discovery for tensional homeostasis: Constitutive machine learning in growth and remodeling}, url = {https://par.nsf.gov/biblio/10601109}, DOI = {10.1016/j.compbiomed.2025.109691}, abstractNote = {}, journal = {Computers in Biology and Medicine}, volume = {186}, number = {C}, publisher = {Elsevier}, author = {Holthusen, Hagen and Brepols, Tim and Linka, Kevin and Kuhl, Ellen}, }