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A graph representation of molecular ensembles for polymer property prediction

Chemical Science(2022)10.1039/d2sc02839eSource: DataRank Database

A graph representation of molecular ensembles for polymer property prediction is a research paper published in Chemical Science (2022). On theSindex it has a DataRank of 0. It has been cited 1 time.

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0DataRank · unranked

Scored on demand from live citation data

Open Access1 citations

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (2 grants)Impact (FWCI 0.07)OA: goldTopics (33)IDs (PubMed, PMC, OpenAlex)

FAIR Checklist

Context only (not used in score)

Findable (1/2)

Has DOI

Accessible (1/2)

Open Access

Interoperable (0/2)

Reusable (0/3)

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Authors (2)

Connor W. Coley ORCID,Matteo Aldeghi ORCID

Live enrichment

PubMed:36277616 PMC:PMC9473492 OpenAlex:https://openalex.org/W4280564485

National Institute of General Medical Sciences

Grant: R21GM141616

National Institutes of Health

Grant: 1R21GM141616-01

Accelerated discovery of synthetic polymers for ribonucleoprotein delivery through the integration of active learning, machine learning, and polymer science

FWCI

0.07

Citation Percentile

0.2%

Citation Trend

2025

goldLicense: cc-by-nc

journalhttps://pubs.rsc.org/en/content/articlepdf/2022/sc/d2sc02839e

publisherhttps://pubs.rsc.org/en/content/articlepdf/2022/sc/d2sc02839e

publisherhttp://pubs.rsc.org/en/content/articlepdf/2022/SC/D2SC02839E

journalhttps://doi.org/10.1039/d2sc02839e

repositoryhttps://pubmed.ncbi.nlm.nih.gov/36277616

Fields of Study

Machine Learning in Materials ScienceAdvanced Graph Neural NetworksComputational Drug Discovery Methods02 engineering and technology0210 nano-technology01 natural sciences0104 chemical sciences

Keywords

CheminformaticsChemical spaceComputer sciencePolymerGraphRepresentation (politics)MonomerMolecular graphMaterials informaticsGraph theoryPolymerizationTheoretical computer scienceArtificial intelligenceMachine learningChemistryComputational chemistryMathematicsDrug discoveryEngineering informaticsOrganic chemistryFOS: Computer and information sciencesComputer Science - Machine LearningSoft Condensed Matter (cond-mat.soft)FOS: Physical sciencesCondensed Matter - Soft Condensed MatterMachine Learning (cs.LG)