Implementation of offset corrected AGAD algorithm on 130-nm CMOS technology–based RRAM array for analog neural network training
- DOI
- 10.1126/sciadv.aee7134
- Published
- 2026-09-25
- Container
- Science Advances
- Publisher
- American Association for the Advancement of Science (AAAS)
- 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:10.1126/sciadv.aee7134,
title = {Implementation of offset corrected AGAD algorithm on 130-nm CMOS technology–based RRAM array for analog neural network training},
author = {Jimin Lee and Paul Solomon and Nanbo Gong and Omobayode Fagbohungbe and Russel Wilson and Takashi Ando and Seyoung Kim},
year = {2026},
journal = {Science Advances},
doi = {10.1126/sciadv.aee7134},
url = {https://doi.org/10.1126/sciadv.aee7134}
}RIS
TY - JOUR TI - Implementation of offset corrected AGAD algorithm on 130-nm CMOS technology–based RRAM array for analog neural network training AU - Jimin Lee AU - Paul Solomon AU - Nanbo Gong AU - Omobayode Fagbohungbe AU - Russel Wilson AU - Takashi Ando AU - Seyoung Kim PY - 2026 JO - Science Advances DO - 10.1126/sciadv.aee7134 UR - https://doi.org/10.1126/sciadv.aee7134 ER -
APA
Lee, J., Solomon, P., Gong, N., Fagbohungbe, O., Wilson, R., Ando, T., & Kim, S. (2026). Implementation of offset corrected AGAD algorithm on 130-nm CMOS technology–based RRAM array for analog neural network training. Science Advances. https://doi.org/10.1126/sciadv.aee7134
Source records
- crossref · retrieved 2026-09-26T01:11:28.801Z