Low-Temperature Prediction in Commercial Lithium-Ion Batteries during Dynamic Usage via Enhanced Physics-Informed Neural Networks.

Pereira EL, Soares DM

Open source

DOI: 10.1021/acsomega.5c11152
Published: 2026 May 26
Container: ACS omega
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1021/acsomega.5c11152,
  title = {Low-Temperature Prediction in Commercial Lithium-Ion Batteries during Dynamic Usage via Enhanced Physics-Informed Neural Networks.},
  author = {Pereira EL and Soares DM},
  year = {2026},
  journal = {ACS omega},
  doi = {10.1021/acsomega.5c11152},
  url = {https://doi.org/10.1021/acsomega.5c11152}
}

RIS

TY  - JOUR
TI  - Low-Temperature Prediction in Commercial Lithium-Ion Batteries during Dynamic Usage via Enhanced Physics-Informed Neural Networks.
AU  - Pereira EL
AU  - Soares DM
PY  - 2026
JO  - ACS omega
DO  - 10.1021/acsomega.5c11152
UR  - https://doi.org/10.1021/acsomega.5c11152
ER  -

APA

EL, P., & DM, S. (2026). Low-Temperature Prediction in Commercial Lithium-Ion Batteries during Dynamic Usage via Enhanced Physics-Informed Neural Networks.. ACS omega. https://doi.org/10.1021/acsomega.5c11152

Source records

pubmed · retrieved 2026-09-27T08:39:07.605Z
europe-pmc · retrieved 2026-09-27T08:39:07.619Z
doaj · retrieved 2026-09-27T08:39:07.627Z