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Interpreting convolutional neural networks' low-dimensional approximation to quantum spin systems

Physical Review Research(2025)10.1103/physrevresearch.7.013094Source: DataRank Database

Interpreting convolutional neural networks' low-dimensional approximation to quantum spin systems is a research paper published in Physical Review Research (2025). On theSindex it has a DataRank of 0.

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0DataRank · unranked

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Open Access0 citations

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datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (9 grants)OA: goldTopics (2)IDs (PubMed)

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 (6)

Shah Saad Alam ORCID,Jonathan Minoff ORCID,Fabio Anselmi ORCID,Han Pu ORCID,Ankit Patel ORCID

Live enrichment

PubMed:21097893

National Science Foundation

Grant: PHY-2207283

National Science Foundation

Grant: PHY-2317149

National Science Foundation

Grant: DBI-1707400

Welch Foundation

Grant: C-1669

National Institutes of Health

Grant: P42ES027725

Intelligence Advanced Research Projects Activity

Grant: D16PC00003

Defense Advanced Research Projects Agency

Grant: HR0011-18-2-0025

Defense Advanced Research Projects Agency

Grant: R01 EY026927

Next Generation Network for Neuroscience

Grant: 1707400

goldLicense: cc-by

GOLDhttp://link.aps.org/pdf/10.1103/PhysRevResearch.7.013094

publisherhttp://link.aps.org/pdf/10.1103/PhysRevResearch.7.013094

publisherhttps://link.aps.org/article/10.1103/PhysRevResearch.7.013094

publisherhttp://harvest.aps.org/v2/journals/articles/10.1103/PhysRevResearch.7.013094/fulltext

repositoryhttps://doaj.org/article/2aee3469c8a748029358bf2ee2aee07b

Fields of Study

PhysicsComputer Science