Load estimation in unsteady flows from sparse pressure measurements: Application of transition networks to experimental data

Overview of attention for article published in Physics of Fluids, February 2022

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Time-series estimation using transition networks on realistic, sparse flow data. (arXiv:2105.04520v3 [physics.flu-dyn] UPDATED) https://t.co/iSoRY5FtSZ https://t.co/t2OVk3F28Q

[2105.04520] Frieder Kaiser, Giovanni Iacobello, David E. Rival: Time-series estimation using transition networks on realistic, sparse flow data https://t.co/ZigfH2S6ka https://t.co/Jprb0m9Ggf #physics_flu_dyn

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