Machine Learning-Assisted Development of High-Performance Ethanol Synthesis Catalysts via CO2 Hydrogenation.

Du P, Ait El Fakir A, Mine S, Yang B, Pan H, He C, Dostagir NHM, Ando Y, Fischer JWA, Anzai A, Allison G, Toyoshima R, Kondoh H, Zhou W, Copéret C, Takigawa I, Shimizu KI, Toyao T

Open source

DOI: 10.1021/jacs.6c06886
Published: 2026 Jul 29
Container: Journal of the American Chemical Society
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:10.1021/jacs.6c06886,
  title = {Machine Learning-Assisted Development of High-Performance Ethanol Synthesis Catalysts via CO2 Hydrogenation.},
  author = {Du P and Ait El Fakir A and Mine S and Yang B and Pan H and He C and Dostagir NHM and Ando Y and Fischer JWA and Anzai A and Allison G and Toyoshima R and Kondoh H and Zhou W and Copéret C and Takigawa I and Shimizu KI and Toyao T},
  year = {2026},
  journal = {Journal of the American Chemical Society},
  doi = {10.1021/jacs.6c06886},
  url = {https://doi.org/10.1021/jacs.6c06886}
}

RIS

TY  - JOUR
TI  - Machine Learning-Assisted Development of High-Performance Ethanol Synthesis Catalysts via CO2 Hydrogenation.
AU  - Du P
AU  - Ait El Fakir A
AU  - Mine S
AU  - Yang B
AU  - Pan H
AU  - He C
AU  - Dostagir NHM
AU  - Ando Y
AU  - Fischer JWA
AU  - Anzai A
AU  - Allison G
AU  - Toyoshima R
AU  - Kondoh H
AU  - Zhou W
AU  - Copéret C
AU  - Takigawa I
AU  - Shimizu KI
AU  - Toyao T
PY  - 2026
JO  - Journal of the American Chemical Society
DO  - 10.1021/jacs.6c06886
UR  - https://doi.org/10.1021/jacs.6c06886
ER  -

APA

P, D., A, A. E. F., S, M., B, Y., H, P., C, H., NHM, D., Y, A., JWA, F., A, A., G, A., R, T., H, K., W, Z., C, C., I, T., KI, S., & T, T. (2026). Machine Learning-Assisted Development of High-Performance Ethanol Synthesis Catalysts via CO2 Hydrogenation.. Journal of the American Chemical Society. https://doi.org/10.1021/jacs.6c06886

Source records

pubmed · retrieved 2026-09-25T14:22:30.664Z