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A Survey of AI for Materials Science: Foundation Models, LLM Agents, Datasets, and Tools

A Survey of AI for Materials Science: Foundation Models, LLM Agents, Datasets, and Tools

publishedDate Venue ACM Computing Surveys

Source-permitted summary

A Survey of AI for Materials Science: Foundation Models, LLM Agents, Datasets, and Tools

SourceAssociation for Computing Machinery

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Public source attached

Source status for this paper in the current AISci reviewed snapshot.

Primary source
Association for Computing Machinery
Correction status
none
Evidence coverage
1 sources / 1 publishers
Last metadata check
Jul 19, 2026
DOI: 10.1145/3822503OPENALEX: W4414989992
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AI Reading Notes

Core signal

Structured notes generated from source-linked AISci metadata. Treat them as a reading aid, not a substitute for the paper.

Core signal
A Survey of AI for Materials Science: Foundation Models, LLM Agents, Datasets, and Tools
Field context
Foundation Models and Agents
People and labs
Chen Zhao, Xintao Wu, Baylor University, University of Arkansas at Fayetteville
Why it matters
Recent source-backed research output for AISci Stage A browsing.
Limits to check
AISci rank score does not assess scientific quality or citation impact.

Publication facts

External IDs

Author order

  1. Chen ZhaoSourceSpringer Science+Business Media
  2. Xintao WuSourceSpringer Science+Business Media

Organizations

Baylor UniversityUniversity of Arkansas at FayettevilleUniversity of Arkansas SystemArkansas State UniversityUniversity of Arkansas at Little Rock

Related events

A Survey of AI for Materials Science: Foundation Models, LLM Agents, Datasets, and Tools

Topics

Foundation Models and Agents

Relationship evidence

Timeline

  2. paperA Survey of AI for Materials Science: Foundation Models, LLM Agents, Datasets, and Tools
    SourceAssociation for Computing Machinery