Machine Learning With Data Assimilation and Uncertainty Quantification for Dynamical Systems: A Review
2023 · IEEE/CAA Journal of Automatica Sinica · 251 citations
https://doi.org/10.1109/jas.2023.123537
R
Rossella Arcucci
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Rossella Arcucci is an academic researcher from Imperial College London. The author has contributed to research in topics: Meteorological Phenomena and Simulations & Fire effects on ecosystems & Model Reduction and Neural Networks. The author has an h-index of 29, co-authored 172 publications.
ORCID: 0000-0002-9471-0585Papers by this author
worksOptimization of microfluidic synthesis of silver nanoparticles: A generic approach using machine learning
2023 · Process Safety and Environmental Protection · 39 citations
https://doi.org/10.1016/j.cherd.2023.03.007
A Scalable Approach for Variational Data Assimilation
2014 · Journal of Scientific Computing · 35 citations
https://doi.org/10.1007/s10915-014-9824-2
Machine learning and physics-driven modelling and simulation of multiphase systems
2024 · International Journal of Multiphase Flow · 33 citations
https://doi.org/10.1016/j.ijmultiphaseflow.2024.104936
ESA-ECMWF Report on recent progress and research directions in machine learning for Earth System observation and prediction
2022 · npj Climate and Atmospheric Science · 27 citations
https://doi.org/10.1038/s41612-022-00269-z
Multi-fidelity physics constrained neural networks for dynamical systems
2024 · Computer Methods in Applied Mechanics and Engineering · 24 citations
https://doi.org/10.1016/j.cma.2024.116758
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