3D, Structure-Based, Deep Learning Approach to Predict the Regioselectivity of Olefin Hydroformylations.
- DOI
- 10.1021/jacs.6c11602
- Published
- 2026 Sep 2
- 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.
- cautionDOI resolves: No matching Crossref record was present in this response.
- 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.
- cautionMetadata completeness: 5 of 6 scored descriptive metadata groups are present; missing fields increase uncertainty.
Cite this work
BibTeX
@article{allodium:10.1021/jacs.6c11602,
title = {3D, Structure-Based, Deep Learning Approach to Predict the Regioselectivity of Olefin Hydroformylations.},
author = {Hadler N and Rinehart NI and Elkin M and Nicolai J and Gheibi G and Chen J and Avaylon M and Maciejewski R and Weber GH and Mahoney MW and Perciano T and Hartwig JF},
year = {2026},
journal = {Journal of the American Chemical Society},
doi = {10.1021/jacs.6c11602},
url = {https://doi.org/10.1021/jacs.6c11602}
}RIS
TY - JOUR TI - 3D, Structure-Based, Deep Learning Approach to Predict the Regioselectivity of Olefin Hydroformylations. AU - Hadler N AU - Rinehart NI AU - Elkin M AU - Nicolai J AU - Gheibi G AU - Chen J AU - Avaylon M AU - Maciejewski R AU - Weber GH AU - Mahoney MW AU - Perciano T AU - Hartwig JF PY - 2026 JO - Journal of the American Chemical Society DO - 10.1021/jacs.6c11602 UR - https://doi.org/10.1021/jacs.6c11602 ER -
APA
N, H., NI, R., M, E., J, N., G, G., J, C., M, A., R, M., GH, W., MW, M., T, P., & JF, H. (2026). 3D, Structure-Based, Deep Learning Approach to Predict the Regioselectivity of Olefin Hydroformylations.. Journal of the American Chemical Society. https://doi.org/10.1021/jacs.6c11602
Source records
- pubmed · retrieved 2026-09-26T10:07:16.485Z