Deep reinforcement learning for active flow control in a turbulent separation bubble (Nature Communications, (2025), 16, 1, (1422), 10.1038/s41467-025-56408-6)

Bernat Font; Francisco Alcántara-Ávila; Jean Rabault; Ricardo Vinuesa; Oriol Lehmkuhl

doi:10.1038/s41467-025-57534-x

Deep reinforcement learning for active flow control in a turbulent separation bubble (Nature Communications, (2025), 16, 1, (1422), 10.1038/s41467-025-56408-6)

Bernat Font^*, Francisco Alcántara-Ávila, Jean Rabault, Ricardo Vinuesa^*, Oriol Lehmkuhl

^*Corresponding author for this work

Ship Hydromechanics

Research output: Contribution to journal › Comment/Letter to the editor › Scientific › peer-review

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Abstract

Correction to: Nature Communicationshttps://doi.org/10.1038/s41467-025-56408-6, published online 07 February 2024 In the version of the article initially published, the table in the lower half of Fig. 7 was missing and is now amended in the HTML and PDF versions of the article.

Original language	English
Article number	3886
Number of pages	1
Journal	Nature Communications
Volume	16
Issue number	1
DOIs	https://doi.org/10.1038/s41467-025-57534-x
Publication status	Published - 2025

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10.1038/s41467-025-57534-x

s41467-025-57534-xFinal published version, 289 KBLicence: CC BY

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title = "Deep reinforcement learning for active flow control in a turbulent separation bubble (Nature Communications, (2025), 16, 1, (1422), 10.1038/s41467-025-56408-6)",

abstract = "Correction to: Nature Communicationshttps://doi.org/10.1038/s41467-025-56408-6, published online 07 February 2024 In the version of the article initially published, the table in the lower half of Fig. 7 was missing and is now amended in the HTML and PDF versions of the article.",

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Deep reinforcement learning for active flow control in a turbulent separation bubble (Nature Communications, (2025), 16, 1, (1422), 10.1038/s41467-025-56408-6). / Font, Bernat; Alcántara-Ávila, Francisco; Rabault, Jean et al.
In: Nature Communications, Vol. 16, No. 1, 3886, 2025.

Research output: Contribution to journal › Comment/Letter to the editor › Scientific › peer-review

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T1 - Deep reinforcement learning for active flow control in a turbulent separation bubble (Nature Communications, (2025), 16, 1, (1422), 10.1038/s41467-025-56408-6)

AU - Font, Bernat

AU - Alcántara-Ávila, Francisco

AU - Rabault, Jean

AU - Vinuesa, Ricardo

AU - Lehmkuhl, Oriol

PY - 2025

Y1 - 2025

N2 - Correction to: Nature Communicationshttps://doi.org/10.1038/s41467-025-56408-6, published online 07 February 2024 In the version of the article initially published, the table in the lower half of Fig. 7 was missing and is now amended in the HTML and PDF versions of the article.

AB - Correction to: Nature Communicationshttps://doi.org/10.1038/s41467-025-56408-6, published online 07 February 2024 In the version of the article initially published, the table in the lower half of Fig. 7 was missing and is now amended in the HTML and PDF versions of the article.

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U2 - 10.1038/s41467-025-57534-x

DO - 10.1038/s41467-025-57534-x

M3 - Comment/Letter to the editor

SN - 2041-1723

VL - 16

JO - Nature Communications

JF - Nature Communications

IS - 1

M1 - 3886

ER -

Deep reinforcement learning for active flow control in a turbulent separation bubble (Nature Communications, (2025), 16, 1, (1422), 10.1038/s41467-025-56408-6)

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