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Leveraging Deep Learning and Generative AI for Predicting Rheological Properties and Material Compositions of 3D Printed Polyacrylamide Hydrogels

Gels(2024)10.3390/gels10100660Source: DataRank Database

Leveraging Deep Learning and Generative AI for Predicting Rheological Properties and Material Compositions of 3D Printed Polyacrylamide Hydrogels is a research paper published in Gels (2024). On theSindex it has a DataRank of 0. It has been cited 18 times.

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0DataRank · unranked

Scored on demand from live citation data

Open Access18 citations

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (3 grants)Impact (FWCI 2.40)OA: goldTopics (31)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 (5)

Rafee Akand,K. H. Cook,Sabrina Nilufar ORCID,Farhan Chowdhury ORCID,Sakib Mohammad ORCID

Live enrichment

PubMed:39451313 PMC:PMC11507415 OpenAlex:https://openalex.org/W4403456864

National Science Foundation

Grant: 2138459

ERI: Understanding the Thermomechanical Response of Sandwich Structures with Triply Periodic Minimal Surface

National Science Foundation

Grant: R15GM140448

National Institutes of Health

Grant: 3R15GM140448-01A1S1

Single-molecule approaches to study epiblast stem cell fate decision

FWCI

2.40

Citation Percentile

0.9%

Citation Trend

2025

2026

goldLicense: cc-by

journalhttps://www.mdpi.com/2310-2861/10/10/660/pdf?version=1728971043

publisherhttps://www.mdpi.com/2310-2861/10/10/660/pdf?version=1728971043

publisherhttps://www.mdpi.com/2310-2861/10/10/660/pdf

journalhttps://doi.org/10.3390/gels10100660

repositoryhttps://pubmed.ncbi.nlm.nih.gov/39451313

Fields of Study

3D Printing in Biomedical ResearchAdditive Manufacturing and 3D Printing Technologies3D Shape Modeling and Analysis02 engineering and technology0202 electrical engineering, electronic engineering, information engineering

Keywords

AutoencoderHyperparameterGenerative modelArtificial intelligenceComputer sciencePattern recognition (psychology)Multivariate statisticsRheologyDeep learningSelf-healing hydrogelsMaterials scienceGenerative grammarMachine learningComposite materialPolyacrylamide3D PrintingGenerative AiScienceQGeneral. Including alchemyArticleChemistryQD1-65QD1-999Inorganic chemistryQD146-197