Physics-informed neural network for predicting myocardial mechanics from in vivo physiological measurements.

Mehdi RR, Kadivar N, Neelakantan S, Myers KJ, Wang E, Agraz M, Zhang P, Karniadakis G, Choudhary G, Avazmohammadi R

Open source

DOI
10.64898/2026.10.16.756787
Published
2026 Oct 19
Container
bioRxiv : the preprint server for biology
Publisher
Not recorded
Open access
yes

Credibility signals

limited evidence Score 45/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.

Show all credibility signals

Cite this work

BibTeX

@article{allodium:10.64898/2026.10.16.756787,
  title = {Physics-informed neural network for predicting myocardial mechanics from in vivo physiological measurements.},
  author = {Mehdi RR and Kadivar N and Neelakantan S and Myers KJ and Wang E and Agraz M and Zhang P and Karniadakis G and Choudhary G and Avazmohammadi R},
  year = {2026},
  journal = {bioRxiv : the preprint server for biology},
  doi = {10.64898/2026.10.16.756787},
  url = {https://doi.org/10.64898/2026.10.16.756787}
}

RIS

TY  - JOUR
TI  - Physics-informed neural network for predicting myocardial mechanics from in vivo physiological measurements.
AU  - Mehdi RR
AU  - Kadivar N
AU  - Neelakantan S
AU  - Myers KJ
AU  - Wang E
AU  - Agraz M
AU  - Zhang P
AU  - Karniadakis G
AU  - Choudhary G
AU  - Avazmohammadi R
PY  - 2026
JO  - bioRxiv : the preprint server for biology
DO  - 10.64898/2026.10.16.756787
UR  - https://doi.org/10.64898/2026.10.16.756787
ER  - 

APA

RR, M., N, K., S, N., KJ, M., E, W., M, A., P, Z., G, K., G, C., & R, A. (2026). Physics-informed neural network for predicting myocardial mechanics from in vivo physiological measurements.. bioRxiv : the preprint server for biology. https://doi.org/10.64898/2026.10.16.756787

Source records