Citation notice #2411 · 2026-07-11 03:18:59.114453+00:00

Timescale Separation Enables Deep Reinforcement Learning Control of Rotating Detonation Engine Mode Transitions

cites Guastoni, J, which carries a correction notice dated 2023-06-29. One-hop deterministic notice: the citation edge exists in the Pith bibliography graph; no model judged whether the citation was load-bearing.

This is not a judgment on the citing paper.

Citing paper Event page Original DOI Notice DOI File a formal challenge All reference changes

01Evidence

Raw extraction · citation context · bibliography index 25

Flow, Turbulence and Combustion, March 2025. ISSN 1573-1987. doi: 10.1007/ s10494-025-00642-x. [24] Luca Guastoni, Jean Rabault, Philipp Schlatter, Hossein Azizpour, and Ricardo Vinuesa. Deep reinforcement learning for turbulent drag reduction in channel flows.The European Physical Journal E, 46(4):27, April 2023. ISSN 1292-895X. doi: 10.1140/epje/s10189-023-00285-8. [25] Takahiro Sonoda, Zhuchen Liu, Toshitaka Itoh, and Yosuke Hasegawa. Reinforcement learning of control strategies for reducing skin friction drag in a fully developed turbulent channel flow.Journal of Fluid Mechanics, 960:A30, April 2023. ISSN 0022-1120, 1469-7645. doi: 10.1017/jfm.2023.147. [26] Zisong Zhou, Mengqi Zhang, and Xiaojue Zhu. Reinforcement-learning-based control of turbulent channel flows

02Event

Type

Correction

Source

Crossref

Original DOI

10.1140/epje/s10189-023-00285-8

Notice DOI

10.1140/epje/s10189-023-00304-8

Date

2023-06-29

Title

Correction to: Deep reinforcement learning for turbulent drag reduction in channel flows

Reasons

['Correction']

Work

Guastoni, J (2023) The European Physical Journal E

Schema constants (for re-runners): correction · crossref

03Dispute this notice

If this citation does not depend on the flagged claim, or the event is wrong, say so. Disputes are public. For a signed challenge against the paper itself, use the formal challenge form.