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Articles Citing

Chaos, coherence, and turbulence

Javier Jiménez*

  • *Contact author: javier.jimenezs@upm.es

Flow organization in unstably stratified mixed convection at Ri=1 for heavy liquid metals

Xingguang Zhou, Dalin Zhang, Xinyu Li, Wentao Ma, Hongxing Yu, Wenxi Tian, Suizheng Qiu, and Guanghui Su

Phys. Rev. Fluids 11 084606 (2026)

Interpreting coherence in wall turbulence

Daniele Massaro and Fazle Hussain

Nat Rev Phys 8 276 (2026)

Is it true that no mathematical relation exists between the Navier–Stokes equations and the multifractal model?

John David Gibbon and Dario Vincenzi

J. Fluid Mech. 1034 A2 (2026)

Clustering the flow: a data-driven framework for pattern discovery in fluid dynamics

Juan Ángel Martín, Eva Muñoz, Himanshu Dave, Alessandro Parente, and Soledad Le Clainche

Flow 6 E29 (2026)

Pairwise interactions in turbulence time series: essential measures for validating synthetic data

Saleh Rezaeiravesh, Daniele Massaro, and Philipp Schlatter

DCE 7 e44 (2026)

A GPU framework for computing multiscale triadic interactions in turbulent flows

Gustavo Lopes, Marco Rosenzweig, Pawel Jan Przytarski, Richard Sandberg, and Davide Lengani

Computers & Fluids 321 107298 (2026)

Reynolds-number-adaptive symbolic regression for explainable wall-bounded turbulence modelling

Apostolos Palasis, Dimitrios Angelis, and Filippos Sofos

Computers & Fluids 320 107283 (2026)

DNS-Calibrated Physics-Informed Neural Networks with Learnable Constants for Reynolds Number Extrapolation in Turbulent Channel Flows

Apostolos Palasis and Filippos Sofos

Applied Sciences 16 3525 (2026)

Beyond lattices: A geometry-first computational design framework for additive manufacturing of porous architectures

Gabriele Grima, Marco Pelanconi, Eleonora Santecchia, and Alberto Ortona

Additive Manufacturing Letters 18 100396 (2026)

No title available

A. Musaev, A. Makshanov, and D. Grigoriev

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