This standard specifies a capability framework for artificial intelligence (AI) agents that are designed for materials research workflows. The framework comprises three domains： (1) Fundamental capabilities help to ensure the basic operational competence required for materials-related research activities. These capabilities address data management, task management, and human–agent interaction. (2) Scientific research capabilities address essential computational, analytical, and experimental functions of materials science. These capabilities cover tasks such as materials simulation, property characterization, and experimental–computational integration. AI agents are required to explicitly state their applicability domain and data constraints. This supports transparency and controllability in materials research scenarios. (3) Service capabilities support the deployment and effective use of AI agents and enable collaboration with human experts. These capabilities address deployment, compatibility with relevant software environments, data formats, and deployment infrastructures, as well as monitoring of engineering maturity and operational reliability in practical applications. The standard also specifies agent competencies related to interoperability with external tools, data sources, and computational platforms used in materials research workflows, as well as algorithmic integration, advanced perception, and effective collaboration with human experts. Requirements for underlying model training strategies, data scale, or feature representation methods are beyond the scope of this standard.
- Standard Committee
- C/AISC - Artificial Intelligence Standards Committee
- Status
- Active PAR
- PAR Approval
- 2026-02-12
Working Group Details
- Society
- IEEE Computer Society
- Standard Committee
- C/AISC - Artificial Intelligence Standards Committee
- Working Group
-
AI-4 Materials Research - Aritficial Intelligence for Materials Research
- IEEE Program Manager
- Christy Bahn
Contact Christy Bahn - Working Group Chair
- guiyun meng
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