Agentic Research Directory

Framework 2025

MASTER: multi-agent reasoning for materials simulations

MASTER is an active-learning framework in which large language models design, execute and interpret atomistic simulations for materials research, according to the authors.

Workflow level n/a Source: Preprint (not peer-reviewed) Outcome: Author-reported

Research applicability

Demonstrates a research-specific architecture for selecting and interpreting atomistic simulations with hierarchical language-model reasoning.

Getting started

Read the cited abstract and paper, then assess the stated adoption requirements. Adoption suggestions are editorial and untested, not an executed recipe.

Maintenance

Research-publication record; implementation maintenance not verified.

License

Software and dataset licensing not independently audited.

Workflow & human oversight

Workflow level left unspecified: the abstract does not establish operational boundaries and researcher responsibilities sufficiently for a level claim. Researchers remain responsible for domain validation, safety and interpretation.

Workflow level is not an evidence score; higher is not better evidence.

Approach

A multimodal system translates natural language into density-functional-theory workflows. Higher-level agents compare single-agent reasoning with peer-review, triage-ranking and triage-forms strategies for CO adsorption studies on Cu-surface transition-metal adatoms and M-N-C catalysts.

Outcomes (as reported by the originating team)

The authors report fewer required atomistic simulations than trial-and-error selection in two CO-adsorption applications. The comparison was not reproduced and no general speedup is asserted.

Limitations

Abstract-only primary-source review. No software, hardware, dataset or reported outcome independently reproduced; detailed methods, evaluation settings, distribution and licensing were not inspected.

Reproducibility

Primary abstract and bibliographic identity checked on 2026-10-17; no execution or outcome reproduction.

Adoption requirements

Editorial, untested guidance: assess access to density-functional-theory software and compute, model access and electronic-structure expertise. Check simulation setup and convergence, inspect proposed chemistry and account for data privacy and compute cost. A runnable distribution was not verified.

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