Multi-domain encoder–decoder neural networks for latent data assimilation in dynamical systems
- DOI
- 10.1016/j.cma.2024.117201
- Published
- 2024-10
- Container
- Computer Methods in Applied Mechanics and Engineering
- Publisher
- Elsevier BV
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.cma.2024.117201,
title = {Multi-domain encoder–decoder neural networks for latent data assimilation in dynamical systems},
author = {Sibo Cheng and Yilin Zhuang and Lyes Kahouadji and Che Liu and Jianhua Chen and Omar K. Matar and Rossella Arcucci},
year = {2024},
journal = {Computer Methods in Applied Mechanics and Engineering},
doi = {10.1016/j.cma.2024.117201},
url = {https://doi.org/10.1016/j.cma.2024.117201}
}RIS
TY - JOUR TI - Multi-domain encoder–decoder neural networks for latent data assimilation in dynamical systems AU - Sibo Cheng AU - Yilin Zhuang AU - Lyes Kahouadji AU - Che Liu AU - Jianhua Chen AU - Omar K. Matar AU - Rossella Arcucci PY - 2024 JO - Computer Methods in Applied Mechanics and Engineering DO - 10.1016/j.cma.2024.117201 UR - https://doi.org/10.1016/j.cma.2024.117201 ER -
APA
Cheng, S., Zhuang, Y., Kahouadji, L., Liu, C., Chen, J., Matar, O. K., & Arcucci, R. (2024). Multi-domain encoder–decoder neural networks for latent data assimilation in dynamical systems. Computer Methods in Applied Mechanics and Engineering. https://doi.org/10.1016/j.cma.2024.117201
Source records
- crossref · retrieved 2026-09-25T06:33:28.870Z