A lightweight metallographic defect detection framework via structured priors and energy-aware attention under strong grain boundary interference.

Shen Z, Deng Q, Wu Z, Jin K, Zhong Y, Shi Y, Ling Y, Hu S

DOI: 10.1038/s41598-026-45556-4
Published: 2026 Mar 26
Container: Scientific reports
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

cautionDOI registered: No matching Crossref record was present in this response. Source: Crossref; license: CC0 metadata
cautionDOI resolves: No matching Crossref record was present in this response. Source: Crossref; license: CC0 metadata
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. Source: DOAJ; license: CC0
not scoredMEDLINE indexed: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
not scoredOpenAlex core source: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
not scoredKnown publisher allow-list: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
not scoredROR affiliation: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
not scoredRetraction Watch retraction: No retraction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete. Source: Retraction Watch; license: CC BY 4.0
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. Source: Retraction Watch; license: CC BY 4.0
not scoredRetraction Watch correction: No correction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete. Source: Retraction Watch; license: CC BY 4.0
not scoredRetraction Watch reinstatement: No reinstatement notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete. Source: Retraction Watch; license: CC BY 4.0
supportingOpen access status: Normalized open-access status: open. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer
not scoredPublication license: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
not scoredPublication version: A publication version was supplied but is not scored. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer
cautionMetadata completeness: 5 of 6 scored descriptive metadata groups are present; missing fields increase uncertainty. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer

Cite this work

BibTeX

@article{allodium:10.1038/s41598-026-45556-4,
  title = {A lightweight metallographic defect detection framework via structured priors and energy-aware attention under strong grain boundary interference.},
  author = {Shen Z and Deng Q and Wu Z and Jin K and Zhong Y and Shi Y and Ling Y and Hu S},
  year = {2026},
  journal = {Scientific reports},
  doi = {10.1038/s41598-026-45556-4},
  url = {https://doi.org/10.1038/s41598-026-45556-4}
}

RIS

TY  - JOUR
TI  - A lightweight metallographic defect detection framework via structured priors and energy-aware attention under strong grain boundary interference.
AU  - Shen Z
AU  - Deng Q
AU  - Wu Z
AU  - Jin K
AU  - Zhong Y
AU  - Shi Y
AU  - Ling Y
AU  - Hu S
PY  - 2026
JO  - Scientific reports
DO  - 10.1038/s41598-026-45556-4
UR  - https://doi.org/10.1038/s41598-026-45556-4
ER  -

APA

Z, S., Q, D., Z, W., K, J., Y, Z., Y, S., Y, L., & S, H. (2026). A lightweight metallographic defect detection framework via structured priors and energy-aware attention under strong grain boundary interference.. Scientific reports. https://doi.org/10.1038/s41598-026-45556-4

Source records

pubmed · retrieved 2026-09-25T12:36:56.505Z