State estimation in spatiotemporal chaos via low-rank StatFEM

D. Claassen, T. Stemler, M. Bertolacci, E. Cripps

Open source

DOI: 10.1063/5.0336433
Published: 2026-07-01
Container: Chaos: An Interdisciplinary Journal of Nonlinear Science
Publisher: AIP Publishing
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1063/5.0336433,
  title = {State estimation in spatiotemporal chaos via low-rank StatFEM},
  author = {D. Claassen and T. Stemler and M. Bertolacci and E. Cripps},
  year = {2026},
  journal = {Chaos: An Interdisciplinary Journal of Nonlinear Science},
  doi = {10.1063/5.0336433},
  url = {https://doi.org/10.1063/5.0336433}
}

RIS

TY  - JOUR
TI  - State estimation in spatiotemporal chaos via low-rank StatFEM
AU  - D. Claassen
AU  - T. Stemler
AU  - M. Bertolacci
AU  - E. Cripps
PY  - 2026
JO  - Chaos: An Interdisciplinary Journal of Nonlinear Science
DO  - 10.1063/5.0336433
UR  - https://doi.org/10.1063/5.0336433
ER  -

APA

Claassen, D., Stemler, T., Bertolacci, M., & Cripps, E. (2026). State estimation in spatiotemporal chaos via low-rank StatFEM. Chaos: An Interdisciplinary Journal of Nonlinear Science. https://doi.org/10.1063/5.0336433

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crossref · retrieved 2026-09-25T00:48:13.324Z