Deep Reinforcement Learning for the Management of the Wall Regeneration Cycle in Wall-Bounded Turbulent Flows.

Cavallazzi GM, Guastoni L, Vinuesa R, Pinelli A.

Open source

DOI
10.1007/s10494-024-00609-4
Published
2024-11-15
Container
Flow Turbul Combust
Publisher
Not recorded
Open access
yes

Credibility signals

limited evidence Score 45/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.

Show all credibility signals

Cite this work

BibTeX

@article{allodium:10.1007/s10494-024-00609-4,
  title = {Deep Reinforcement Learning for the Management of the Wall Regeneration Cycle in Wall-Bounded Turbulent Flows.},
  author = {Cavallazzi GM and  Guastoni L and  Vinuesa R and  Pinelli A.},
  year = {2025},
  journal = {Flow Turbul Combust},
  doi = {10.1007/s10494-024-00609-4},
  url = {https://doi.org/10.1007/s10494-024-00609-4}
}

RIS

TY  - JOUR
TI  - Deep Reinforcement Learning for the Management of the Wall Regeneration Cycle in Wall-Bounded Turbulent Flows.
AU  - Cavallazzi GM
AU  -  Guastoni L
AU  -  Vinuesa R
AU  -  Pinelli A.
PY  - 2025
JO  - Flow Turbul Combust
DO  - 10.1007/s10494-024-00609-4
UR  - https://doi.org/10.1007/s10494-024-00609-4
ER  - 

APA

GM, C., L, G., R, V., & A., P. (2025). Deep Reinforcement Learning for the Management of the Wall Regeneration Cycle in Wall-Bounded Turbulent Flows.. Flow Turbul Combust. https://doi.org/10.1007/s10494-024-00609-4

Source records