A Physics-Informed neural network (PINN) for parameter identification in analytical ultracentrifugation (AUC) analysis.

Cao W, Martin R, Demeler B.

Open source

DOI
10.1016/j.cam.2026.117604
Published
2026-03-27
Container
J Comput Appl Math
Publisher
Not recorded
Open access
no

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BibTeX

@article{allodium:10.1016/j.cam.2026.117604,
  title = {A Physics-Informed neural network (PINN) for parameter identification in analytical ultracentrifugation (AUC) analysis.},
  author = {Cao W and  Martin R and  Demeler B.},
  year = {2026},
  journal = {J Comput Appl Math},
  doi = {10.1016/j.cam.2026.117604},
  url = {https://doi.org/10.1016/j.cam.2026.117604}
}

RIS

TY  - JOUR
TI  - A Physics-Informed neural network (PINN) for parameter identification in analytical ultracentrifugation (AUC) analysis.
AU  - Cao W
AU  -  Martin R
AU  -  Demeler B.
PY  - 2026
JO  - J Comput Appl Math
DO  - 10.1016/j.cam.2026.117604
UR  - https://doi.org/10.1016/j.cam.2026.117604
ER  - 

APA

W, C., R, M., & B., D. (2026). A Physics-Informed neural network (PINN) for parameter identification in analytical ultracentrifugation (AUC) analysis.. J Comput Appl Math. https://doi.org/10.1016/j.cam.2026.117604

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