Neural network surrogates enable robust and accessible modeling of renal epithelial transport

Anita T. Layton

Open source

DOI: 10.14814/phy2.70921
Published: 2026-05
Container: Physiological Reports
Publisher: Wiley
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.14814/phy2.70921,
  title = {Neural network surrogates enable robust and accessible modeling of renal epithelial transport},
  author = {Anita T. Layton},
  year = {2026},
  journal = {Physiological Reports},
  doi = {10.14814/phy2.70921},
  url = {https://doi.org/10.14814/phy2.70921}
}

RIS

TY  - JOUR
TI  - Neural network surrogates enable robust and accessible modeling of renal epithelial transport
AU  - Anita T. Layton
PY  - 2026
JO  - Physiological Reports
DO  - 10.14814/phy2.70921
UR  - https://doi.org/10.14814/phy2.70921
ER  -

APA

Layton, A. T. (2026). Neural network surrogates enable robust and accessible modeling of renal epithelial transport. Physiological Reports. https://doi.org/10.14814/phy2.70921

Source records

crossref · retrieved 2026-09-25T07:11:47.742Z