Cited by 3High Entropy Alloys StudiesMachine Learning in Materials ScienceFusion materials and technologies

Agentic AI for autonomous discovery of radiation-tolerant CoCrFeMnNi high entropy alloys

Roy, Ankit, Devanathan, Ram, Soulami, Ayoub, Sushko, Maria L.·2026·Scripta Materialia

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Crossref · 10.1016/j.scriptamat.2026.117286

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35 of 35 references verified0 citation errors · 0 not checkable

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Authors
Roy, A., Devanathan, R., Soulami, A., & Sushko, M. L.
Affiliations
Pacific Northwest National Laboratory (US)
Corresponding author
Roy, Ankit
Venue
Scripta Materialia
Publisher
Elsevier BV
Published
2026-07
Volume
279
Pages
117286
ISSN
1359-6462 (ISSN-L)
OpenAlex
W7140464812
Cited by
3
References
35
Citations by year
2026: 3
FWCI
5.51
Type
journal article
Language
en
Open access
closed
Locations
Scripta Materialia (publishedVersion)
Funders
U.S. Department of Energy (DE-AC05-76RL01830)
Topics
  • Physical Sciences › Engineering › Mechanical Engineering › High Entropy Alloys Studies
  • Physical Sciences › Materials Science › Materials Chemistry › Machine Learning in Materials Science
  • Physical Sciences › Materials Science › Materials Chemistry › Fusion materials and technologies
Keywords
agentic AI, high-entropy alloys, radioresistance, CoCrFeMnNi, alloy composition design, large language models, radiation-induced defects, compositional space exploration, autonomous materials discovery

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