AI-driven predictive modelling of residual stress of HVOF thermal sprayed carbon-based composite coatings using physics-informed neural networks.
- DOI
- 10.1038/s41598-026-61240-z
- Published
- 2026 Aug 21
- Container
- Scientific reports
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1038/s41598-026-61240-z,
title = {AI-driven predictive modelling of residual stress of HVOF thermal sprayed carbon-based composite coatings using physics-informed neural networks.},
author = {Tyagi A and Dadhich A and Sirohi S and Gupta AK},
year = {2026},
journal = {Scientific reports},
doi = {10.1038/s41598-026-61240-z},
url = {https://doi.org/10.1038/s41598-026-61240-z}
}RIS
TY - JOUR TI - AI-driven predictive modelling of residual stress of HVOF thermal sprayed carbon-based composite coatings using physics-informed neural networks. AU - Tyagi A AU - Dadhich A AU - Sirohi S AU - Gupta AK PY - 2026 JO - Scientific reports DO - 10.1038/s41598-026-61240-z UR - https://doi.org/10.1038/s41598-026-61240-z ER -
APA
A, T., A, D., S, S., & AK, G. (2026). AI-driven predictive modelling of residual stress of HVOF thermal sprayed carbon-based composite coatings using physics-informed neural networks.. Scientific reports. https://doi.org/10.1038/s41598-026-61240-z
Source records
- pubmed · retrieved 2026-09-26T12:40:42.389Z