Machine Learning Reshaping Computational Fluid Dynamics: A Paradigm Shift in Accuracy and Speed
- DOI
- 10.3390/fluids10100275
- Published
- 2025-10-21
- Container
- Fluids
- Publisher
- MDPI AG
- 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:10.3390/fluids10100275,
title = {Machine Learning Reshaping Computational Fluid Dynamics: A Paradigm Shift in Accuracy and Speed},
author = {Aly Mousaad Aly},
year = {2025},
journal = {Fluids},
doi = {10.3390/fluids10100275},
url = {https://doi.org/10.3390/fluids10100275}
}RIS
TY - JOUR TI - Machine Learning Reshaping Computational Fluid Dynamics: A Paradigm Shift in Accuracy and Speed AU - Aly Mousaad Aly PY - 2025 JO - Fluids DO - 10.3390/fluids10100275 UR - https://doi.org/10.3390/fluids10100275 ER -
APA
Aly, A. M. (2025). Machine Learning Reshaping Computational Fluid Dynamics: A Paradigm Shift in Accuracy and Speed. Fluids. https://doi.org/10.3390/fluids10100275
Source records
- crossref · retrieved 2026-09-26T16:09:25.319Z