Machine learning-enabled multiscale modeling platform for damage sensing digital twin in piezoelectric composite structures.

Ghosh S, Dan S, Tarafder P

DOI: 10.1038/s41598-025-91196-5
Published: 2025 Feb 24
Container: Scientific reports
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1038/s41598-025-91196-5,
  title = {Machine learning-enabled multiscale modeling platform for damage sensing digital twin in piezoelectric composite structures.},
  author = {Ghosh S and Dan S and Tarafder P},
  year = {2025},
  journal = {Scientific reports},
  doi = {10.1038/s41598-025-91196-5},
  url = {https://doi.org/10.1038/s41598-025-91196-5}
}

RIS

TY  - JOUR
TI  - Machine learning-enabled multiscale modeling platform for damage sensing digital twin in piezoelectric composite structures.
AU  - Ghosh S
AU  - Dan S
AU  - Tarafder P
PY  - 2025
JO  - Scientific reports
DO  - 10.1038/s41598-025-91196-5
UR  - https://doi.org/10.1038/s41598-025-91196-5
ER  -

APA

S, G., S, D., & P, T. (2025). Machine learning-enabled multiscale modeling platform for damage sensing digital twin in piezoelectric composite structures.. Scientific reports. https://doi.org/10.1038/s41598-025-91196-5

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pubmed · retrieved 2026-09-26T01:44:42.448Z