http://rdf.ncbi.nlm.nih.gov/pubchem/reference/36638207

Outgoing Links

Predicate Object
contentType Journal Article
endingPage 772
issn 1520-5215
1089-5639
issueIdentifier 4
pageRange 761-772
publicationName The journal of physical chemistry. A
startingPage 761
hasFundingAgency http://rdf.ncbi.nlm.nih.gov/pubchem/organization/MD5_487baf6554eb36bb22c6138d90a7c50f
http://rdf.ncbi.nlm.nih.gov/pubchem/organization/MD5_6f6231aac2955e2940e3e0683a9b5de0
bibliographicCitation Zhang L, Ye L, Wang F, Gao W, Yu J, Zhang L. Prediction of Hydrogen Abstraction Rate Constants at the Allylic Site between Alkenes and OH with Multiple Machine Learning Models. J Phys Chem A. 2024 Feb 01;128(4):761–72. doi: 10.1021/acs.jpca.3c06917. PMID: 38237153.
creator http://rdf.ncbi.nlm.nih.gov/pubchem/author/ORCID_0000-0002-4924-1927
http://rdf.ncbi.nlm.nih.gov/pubchem/author/MD5_03a98d285fb2aae564335bb1693b9a50
http://rdf.ncbi.nlm.nih.gov/pubchem/author/MD5_c04a8b3fb9fe45c0a99ba6c85b99d257
http://rdf.ncbi.nlm.nih.gov/pubchem/author/MD5_bb530bad5ad88764ee0c10914aa739ce
http://rdf.ncbi.nlm.nih.gov/pubchem/author/ORCID_0009-0000-1751-5519
http://rdf.ncbi.nlm.nih.gov/pubchem/author/MD5_86fcd50058820285bbf7164e9e47a56e
date 2024-01-18-04:00^^<http://www.w3.org/2001/XMLSchema#date>
identifier https://pubmed.ncbi.nlm.nih.gov/38237153
https://doi.org/10.1021/acs.jpca.3c06917
isPartOf http://rdf.ncbi.nlm.nih.gov/pubchem/journal/22920
https://portal.issn.org/resource/ISSN/1520-5215
https://portal.issn.org/resource/ISSN/1089-5639
language English
source https://www.crossref.org/
https://pubmed.ncbi.nlm.nih.gov/
title Prediction of Hydrogen Abstraction Rate Constants at the Allylic Site between Alkenes and OH with Multiple Machine Learning Models

Total number of triples: 27.