ISO-690 (author-date, English)

CAVALLAZZI, Giorgio Maria, GUASTONI, Luca, VINUESA, Ricardo und PINELLI, Alfredo, 2025. Deep Reinforcement Learning for the Management of the Wall Regeneration Cycle in Wall-Bounded Turbulent Flows. Flow, Turbulence & Combustion. 1 September 2025. Vol. 115, no. 3, p. 1291-1317. DOI 10.1007/s10494-024-00609-4.

Elsevier - Harvard (with titles)

Cavallazzi, G.M., Guastoni, L., Vinuesa, R., Pinelli, A., 2025. Deep Reinforcement Learning for the Management of the Wall Regeneration Cycle in Wall-Bounded Turbulent Flows. Flow, Turbulence & Combustion 115, 1291-1317. https://doi.org/10.1007/s10494-024-00609-4

American Psychological Association 7th edition

Cavallazzi, G. M., Guastoni, L., Vinuesa, R., & Pinelli, A. (2025). Deep Reinforcement Learning for the Management of the Wall Regeneration Cycle in Wall-Bounded Turbulent Flows. Flow, Turbulence & Combustion, 115(3), 1291-1317. https://doi.org/10.1007/s10494-024-00609-4

Springer - Basic (author-date)

Cavallazzi GM, Guastoni L, Vinuesa R, Pinelli A (2025) Deep Reinforcement Learning for the Management of the Wall Regeneration Cycle in Wall-Bounded Turbulent Flows.. Flow, Turbulence & Combustion 115:1291-1317. https://doi.org/10.1007/s10494-024-00609-4

Juristische Zitierweise (Stüber) (Deutsch)

Cavallazzi, Giorgio Maria/ Guastoni, Luca/ Vinuesa, Ricardo/ Pinelli, Alfredo, Deep Reinforcement Learning for the Management of the Wall Regeneration Cycle in Wall-Bounded Turbulent Flows., Flow, Turbulence & Combustion 2025, 1291-1317.

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