A Deep Learning-Based Method for Non-Destructive Estimation of Carbonate Carbon Storage in Biogenic Shells on Marine Engineering Materials
- DOI
- 10.3390/ma19040691
- Published
- 2026-02-11
- Container
- Materials
- Publisher
- MDPI AG
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.3390/ma19040691,
title = {A Deep Learning-Based Method for Non-Destructive Estimation of Carbonate Carbon Storage in Biogenic Shells on Marine Engineering Materials},
author = {Haonan Huang and Mengting Jia and Qiang Xu and Zhiqiang Cui and Junyu He},
year = {2026},
journal = {Materials},
doi = {10.3390/ma19040691},
url = {https://doi.org/10.3390/ma19040691}
}RIS
TY - JOUR TI - A Deep Learning-Based Method for Non-Destructive Estimation of Carbonate Carbon Storage in Biogenic Shells on Marine Engineering Materials AU - Haonan Huang AU - Mengting Jia AU - Qiang Xu AU - Zhiqiang Cui AU - Junyu He PY - 2026 JO - Materials DO - 10.3390/ma19040691 UR - https://doi.org/10.3390/ma19040691 ER -
APA
Huang, H., Jia, M., Xu, Q., Cui, Z., & He, J. (2026). A Deep Learning-Based Method for Non-Destructive Estimation of Carbonate Carbon Storage in Biogenic Shells on Marine Engineering Materials. Materials. https://doi.org/10.3390/ma19040691
Source records
- crossref · retrieved 2026-09-25T13:38:31.495Z