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Large Language Models for High-Entropy Alloys: Literature Mining, Design Orchestration, and Evaluation Standards

Metals(2026)10.3390/met16020162Source: DataRank Database

Large Language Models for High-Entropy Alloys: Literature Mining, Design Orchestration, and Evaluation Standards is a research paper published in Metals (2026). On theSindex it has a DataRank of 0.

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Open Access0 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 6.56)OA: goldTopics (11)IDs (PubMed, OpenAlex)SDGs (1)

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)

Chao Yang ORCID,Yutong Guo

Live enrichment

PubMed:23304386 OpenAlex:https://openalex.org/W7126079327

Shanghai Natural Science Foundation

Grant: 25ZR1401430

Science and Technology Co-operation Program of Shanghai Jiao Tong University

Grant: 2023XYJG0001-01-01

FWCI

6.56

Citation Percentile

1.0%

Citation Trend

2026

goldLicense: cc-by

journalhttps://doi.org/10.3390/met16020162

publisherhttps://doi.org/10.3390/met16020162

publisherhttps://www.mdpi.com/2075-4701/16/2/162/pdf

repositoryhttps://doaj.org/article/637792a03cae44889806545ab6166c0f

Fields of Study

High Entropy Alloys StudiesMachine Learning in Materials ScienceHigh-Temperature Coating Behaviors

Keywords

WorkflowReuseKey (lock)Interface (matter)Transformative learningLanguage modelDomain (mathematical analysis)Data modeling

Sustainable Development Goals

SDG 0: Industry, innovation and infrastructure