Cross-Radical Knowledge Sharing via Graph Neural Networks for Unified Prediction of Aqueous Organic Contaminant Second-Order Radical Reaction Rate Constants
- DOI
- 10.1021/acs.est.6c05985
- Published
- 2026-09-23
- Container
- Environmental Science & Technology
- Publisher
- American Chemical Society (ACS)
- 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:10.1021/acs.est.6c05985,
title = {Cross-Radical Knowledge
Sharing via Graph Neural Networks
for Unified Prediction of Aqueous Organic Contaminant Second-Order
Radical Reaction Rate Constants},
author = {Zhi Huang and Jiang Yu and Pengxinyue Huang and Liangwei Han and Xuetao Zhao and Qian Zhang},
year = {2026},
journal = {Environmental Science \&
Technology},
doi = {10.1021/acs.est.6c05985},
url = {https://doi.org/10.1021/acs.est.6c05985}
}RIS
TY - JOUR TI - Cross-Radical Knowledge Sharing via Graph Neural Networks for Unified Prediction of Aqueous Organic Contaminant Second-Order Radical Reaction Rate Constants AU - Zhi Huang AU - Jiang Yu AU - Pengxinyue Huang AU - Liangwei Han AU - Xuetao Zhao AU - Qian Zhang PY - 2026 JO - Environmental Science & Technology DO - 10.1021/acs.est.6c05985 UR - https://doi.org/10.1021/acs.est.6c05985 ER -
APA
Huang, Z., Yu, J., Huang, P., Han, L., Zhao, X., & Zhang, Q. (2026). Cross-Radical Knowledge Sharing via Graph Neural Networks for Unified Prediction of Aqueous Organic Contaminant Second-Order Radical Reaction Rate Constants. Environmental Science & Technology. https://doi.org/10.1021/acs.est.6c05985
Source records
- crossref · retrieved 2026-11-07T07:13:29.848Z