Identification and diagnosis of flow instability in parallel channel systems using machine learning
- DOI
- 10.1038/s44172-026-00690-9
- Published
- 2026-05-15
- Container
- Communications Engineering
- Publisher
- Springer Science and Business Media LLC
- Open access
- unknown
Credibility signals
uncertain Score 64/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
Show all credibility signals
- supportingDOI registered: A matching record was returned by Crossref.
- supportingDOI resolves: A matching record was returned by Crossref.
- not scoredDirectory of Open Access Journals: No matching DOAJ record was present in this response. No allow-list match; this is not evidence of low credibility.
- not scoredMEDLINE indexed: Not checked or no result supplied; no credibility inference made.
- not scoredOpenAlex core source: Not checked or no result supplied; no credibility inference made.
- not scoredKnown publisher allow-list: Not checked or no result supplied; no credibility inference made.
- not scoredROR affiliation: Not checked or no result supplied; no credibility inference made.
- not scoredRetraction Watch retraction: No retraction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch expression of concern: No expression of concern notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch correction: No correction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch reinstatement: No reinstatement notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredOpen access status: Not checked or no result supplied; no credibility inference made.
- not scoredPublication license: Not checked or no result supplied; no credibility inference made.
- not scoredPublication version: A publication version was supplied but is not scored.
- supportingMetadata completeness: All 6 scored descriptive metadata groups are present.
Cite this work
BibTeX
@article{allodium:10.1038/s44172-026-00690-9,
title = {Identification and diagnosis of flow instability in parallel channel systems using machine learning},
author = {Cheng Peng and Xingchen Wang and Runxin Tian and Jiang Wu and Jian Deng},
year = {2026},
journal = {Communications Engineering},
doi = {10.1038/s44172-026-00690-9},
url = {https://doi.org/10.1038/s44172-026-00690-9}
}RIS
TY - JOUR TI - Identification and diagnosis of flow instability in parallel channel systems using machine learning AU - Cheng Peng AU - Xingchen Wang AU - Runxin Tian AU - Jiang Wu AU - Jian Deng PY - 2026 JO - Communications Engineering DO - 10.1038/s44172-026-00690-9 UR - https://doi.org/10.1038/s44172-026-00690-9 ER -
APA
Peng, C., Wang, X., Tian, R., Wu, J., & Deng, J. (2026). Identification and diagnosis of flow instability in parallel channel systems using machine learning. Communications Engineering. https://doi.org/10.1038/s44172-026-00690-9
Source records
- crossref · retrieved 2026-09-25T20:46:57.899Z