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Characterizing the Reynolds number dependence of the chaotic attractor in two-dimensional turbulence with dimension-minimizing autoencoders

Andrew Cleary*,† and Jacob Page‡

  • School of Mathematics & Maxwell Institute for Mathematical Sciences, University of Edinburgh, Edinburgh EH9 3FD, United Kingdom

  • *Contact author: andrew.cleary@ed.ac.uk
  • †Present address: Department of Mechanical Engineering, Johns Hopkins University, Baltimore MD 21218, USA.
  • ‡Contact author: jacob.page@ed.ac.uk

Data-driven control of extreme events in turbulent flows through latent space clustering

Youssef Shehata, Kevin Schuurman, Pablo Domínguez Estévez, and Nguyen Anh Khoa Doan

Phys. Rev. Fluids 11 093902 (2026)

Latent-space variational data assimilation in two-dimensional turbulence

Andrew Cleary, Qi Wang, and Tamer A. Zaki

Phys. Rev. Fluids 11 104903 (2026)

Degree-of-freedom and optimization-dynamic effects on the observability of Kuramoto–Sivashinsky systems

Noah B. Frank, Joshua L. Pughe-Sanford, and Samuel J. Grauer

Journal of Computational Physics 563 115114 (2026)

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