Uncertainty-aware reduced-order modelling with sparse sensing and data assimilation for forecasting combustion dynamics
- DOI
- 10.21203/rs.3.rs-11381183/v1
- Published
- 2026-11-02
- Container
- Not recorded
- Publisher
- Springer Science and Business Media LLC
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.21203/rs.3.rs-11381183/v1,
title = {Uncertainty-aware reduced-order modelling with sparse sensing and data assimilation for forecasting combustion dynamics},
author = {Constanza Lopez and Alberto Procacci and Bérengère Podvin and Salvatore Iavarone},
year = {2026},
doi = {10.21203/rs.3.rs-11381183/v1},
url = {https://doi.org/10.21203/rs.3.rs-11381183/v1}
}RIS
TY - JOUR TI - Uncertainty-aware reduced-order modelling with sparse sensing and data assimilation for forecasting combustion dynamics AU - Constanza Lopez AU - Alberto Procacci AU - Bérengère Podvin AU - Salvatore Iavarone PY - 2026 DO - 10.21203/rs.3.rs-11381183/v1 UR - https://doi.org/10.21203/rs.3.rs-11381183/v1 ER -
APA
Lopez, C., Procacci, A., Podvin, B., & Iavarone, S. (2026). Uncertainty-aware reduced-order modelling with sparse sensing and data assimilation for forecasting combustion dynamics. https://doi.org/10.21203/rs.3.rs-11381183/v1
Source records
- crossref · retrieved 2026-11-05T19:50:35.485Z