Activation-Free and Strain-Resilient Island-Bridge Liquid Metal Inks for Machine-Learning-Enabled Epidermal Electromyography.

Peng Y, Gu Y, Zhu H, Liu L, Liu H, Huang H, Zhou B, Dong J, Huang Y

DOI: 10.1002/adma.75526
Published: 2026 Oct 26
Container: Advanced materials (Deerfield Beach, Fla.)
Publisher: Not recorded
Open access: unknown

Credibility signals

limited evidence Score 43/100 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
not scoredOpen access status: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
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:10.1002/adma.75526,
  title = {Activation-Free and Strain-Resilient Island-Bridge Liquid Metal Inks for Machine-Learning-Enabled Epidermal Electromyography.},
  author = {Peng Y and Gu Y and Zhu H and Liu L and Liu H and Huang H and Zhou B and Dong J and Huang Y},
  year = {2026},
  journal = {Advanced materials (Deerfield Beach, Fla.)},
  doi = {10.1002/adma.75526},
  url = {https://doi.org/10.1002/adma.75526}
}

RIS

TY  - JOUR
TI  - Activation-Free and Strain-Resilient Island-Bridge Liquid Metal Inks for Machine-Learning-Enabled Epidermal Electromyography.
AU  - Peng Y
AU  - Gu Y
AU  - Zhu H
AU  - Liu L
AU  - Liu H
AU  - Huang H
AU  - Zhou B
AU  - Dong J
AU  - Huang Y
PY  - 2026
JO  - Advanced materials (Deerfield Beach, Fla.)
DO  - 10.1002/adma.75526
UR  - https://doi.org/10.1002/adma.75526
ER  -

APA

Y, P., Y, G., H, Z., L, L., H, L., H, H., B, Z., J, D., & Y, H. (2026). Activation-Free and Strain-Resilient Island-Bridge Liquid Metal Inks for Machine-Learning-Enabled Epidermal Electromyography.. Advanced materials (Deerfield Beach, Fla.). https://doi.org/10.1002/adma.75526

Source records

pubmed · retrieved 2026-11-10T07:14:43.308Z