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Interpretable polynomial neural ordinary differential equations

Chaos An Interdisciplinary Journal of Nonlinear Science(2023)10.1063/5.0130803Source: DataRank Database

Interpretable polynomial neural ordinary differential equations is a research paper published in Chaos An Interdisciplinary Journal of Nonlinear Science (2023). On theSindex it has a DataRank of 0. It has been cited 31 times.

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0DataRank · unranked

Scored on demand from live citation data

Open Access31 citations

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (18 grants)Impact (FWCI 4.02)OA: bronzeTopics (30)IDs (PubMed, 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)

Linda R Petzold ORCID,Colby Fronk ORCID

Live enrichment

PubMed:37097945 OpenAlex:https://openalex.org/W4362579742

National Institute of Biomedical Imaging and Bioengineering

Grant: 2-R01-EB014877-04A1

National Science Foundation

Grant: CNS-1725797

National Science Foundation

Grant: CNS-1730158

National Science Foundation

Grant: ACI-1540112

National Science Foundation

Grant: ACI-1541349

National Science Foundation

Grant: OAC-1826967

National Science Foundation

Grant: OAC-2112167

National Science Foundation

Grant: CNS-2120019

National Science Foundation

Grant: 1725797

MRI: Acquisition of a High Performance Central Computing Facility at University of California Santa Barbara

National Science Foundation

Grant: 1826967

CC* NPEO: Toward the National Research Platform

National Science Foundation

Grant: 2112167

Category II: A Prototype National Research Platform

National Science Foundation

Grant: 1720256

Materials Research Science and Engineering Center at UCSB

National Institutes of Health

Grant: 1R01EB014877-01

Stochastic Simulation Service: A Cloud Computing Framework for Modeling and Simul

National Science Foundation

Grant: 1730158

CI-New: Cognitive Hardware and Software Ecosystem Community Infrastructure (CHASE-CI)

National Science Foundation

Grant: 1541349

CC*DNI DIBBs: The Pacific Research Platform

National Science Foundation

Grant: 1540112

Towards Deploying a Science-Driven Regional Interoperable Science DMZ

National Science Foundation

Grant: 2120019

CCRI: ENS: Cognitive Hardware and Software Ecosystem Community Infrastructure (CHASE-CI)

NIBIB NIH HHS

Grant: R01 EB014877

FWCI

4.02

Citation Percentile

0.9%

Citation Trend

2023

2024

2025

2026

bronzeLicense: arXiv Non-Exclusive Distribution

journalhttps://pubs.aip.org/aip/cha/article-pdf/doi/10.1063/5.0130803/16822656/043101_1_5.0130803.pdf

publisherhttps://pubs.aip.org/aip/cha/article-pdf/doi/10.1063/5.0130803/16822656/043101_1_5.0130803.pdf

journalhttps://doi.org/10.1063/5.0130803

repositoryhttps://pubmed.ncbi.nlm.nih.gov/37097945

repositoryhttps://escholarship.org/uc/item/063153hd

Fields of Study

Model Reduction and Neural NetworksNeural Networks and ApplicationsComputational Physics and Python Applications0301 basic medicine0303 health sciences03 medical and health sciences

Keywords

OdeArtificial neural networkOrdinary differential equationPolynomialFunction (biology)Applied mathematicsComputer scienceMathematicsDifferential equationArtificial intelligenceMathematical analysisFOS: Computer and information sciencesComputer Science - Machine LearningNumerical and Computational MathematicsBoundary value problems on graphs and networks for ordinary differential equationsComputer Science - Artificial IntelligenceFluids & PlasmasNeurosciencesNeural networks for/in biological studies, artificial life and related topicsMachine Learning (cs.LG)Other Physical SciencesGood Health and Well BeingArtificial Intelligence (cs.AI)Artificial neural networks and deep learning