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Journal Articles

Forecasting two-dimensional channel flow using machine learning

Theofanis Aravanis (Θεοφάνης Αραβανής), Grigorios Chrimatopoulos (Γρηγόριος Χρηματόπουλος), Michalis Xenos (Μιχάλης Ξένος), Efstratios E. Tzirtzilakis (Ευστράτιος Ε. Τζιρτζιλάκης)

Physics of Fluids 36, 103617 (2024)

https://doi.org/10.1063/5.0231005

Published: October 2024

View article titled, Forecasting two-dimensional channel flow using machine learning

Journal Articles

A data-driven method for fast predicting the long-term hydrodynamics of gas–solid flows: Optimized dynamic mode decomposition with control

Dandan Li (黎丹聃), Bidan Zhao (赵碧丹), Shuai Lu (路帅), Junwu Wang (王军武)

Physics of Fluids 36, 103332 (2024)

https://doi.org/10.1063/5.0232554

Published: October 2024

View article titled, A data-driven method for fast predicting the long-term hydrodynamics of gas–solid flows: Optimized dynamic mode decomposition with control

Journal Articles

A data-driven approach to analyze bubble deformation in turbulence

Andre Calado, Francesco Capuano, Elias Balaras

Physics of Fluids 36, 102110 (2024)

https://doi.org/10.1063/5.0232177

Published: October 2024

View article titled, A data-driven approach to analyze bubble deformation in turbulence

Journal Articles

Dynamics of inertial particles on the ocean surface with unrestricted reserve buoyancy

F. J. Beron-Vera

Physics of Fluids 36, 101702 (2024)

https://doi.org/10.1063/5.0226779

Published: October 2024

View article titled, Dynamics of inertial particles on the ocean surface with unrestricted reserve buoyancy

Journal Articles

Numerical tank for suspended sediment transport under strong nonlinear waves in shallow water zones

Yuanjun Jiang (蒋沅峻), Jianpeng Zhang (张建鹏), Xin Chen (陈鑫), You Zhou (周游)

Physics of Fluids 36, 103316 (2024)

https://doi.org/10.1063/5.0234132

Published: October 2024

View article titled, Numerical tank for suspended sediment transport under strong nonlinear waves in shallow water zones

Journal Articles

Three-dimensional central-moment pseudopotential lattice Boltzmann model with improved discrete additional term

Shengyuan Zhang (张晟源), Huiying Wu (吴慧英), Shifeng Lin (林士峰), Guizhong Jiang (蒋桂忠), Zhenyu Liu (刘振宇)

Physics of Fluids 36, 103304 (2024)

https://doi.org/10.1063/5.0226635

Published: October 2024

View article titled, Three-dimensional central-moment pseudopotential lattice Boltzmann model with improved discrete additional term

Journal Articles

Flow past a rotating porous sphere in the existence of a toroidal magnetic field

Bharti Sharma, Neetu Srivastava

Physics of Fluids 36, 096625 (2024)

https://doi.org/10.1063/5.0227585

Published: September 2024

View article titled, Flow past a rotating porous sphere in the existence of a toroidal magnetic field

Journal Articles

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Topics

Forecasting two-dimensional channel flow using machine learning

A data-driven method for fast predicting the long-term hydrodynamics of gas–solid flows: Optimized dynamic mode decomposition with control

A data-driven approach to analyze bubble deformation in turbulence

Dynamics of inertial particles on the ocean surface with unrestricted reserve buoyancy

Numerical tank for suspended sediment transport under strong nonlinear waves in shallow water zones

Three-dimensional central-moment pseudopotential lattice Boltzmann model with improved discrete additional term

Flow past a rotating porous sphere in the existence of a toroidal magnetic field

Role of retraction dynamics in bouncing to pinning transition during drop impact on cold superhydrophobic surfaces