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papersTODAY 04:00 UTC

LLM4MOF: Multi-Agent Framework for Inverse Design of Metal-Organic Frameworks

Researchers propose LLM4MOF, a closed-loop multi-agent system that turns natural-language design requests into candidate metal-organic frameworks and evaluates them iteratively. The approach aims to make inverse design of these porous crystalline materials more interpretable, addressing combinatorial search spaces and costly property labels. The work appears as a replacement submission on arXiv in the cs.AI and cs.LG categories.

arXiv LLM4MOF Metal-Organic Frameworks inverse-design large-language-models multi-agent-systems

COVERAGE · 3 REPORTS · LINKS GO TO THE ORIGINAL OUTLETS

arXiv cs.CLInterpretable Inverse Design of Metal-Organic Frameworks with Large Language Model Agents ↗TODAY 04:00 UTC

arXiv cs.AIInterpretable Inverse Design of Metal-Organic Frameworks with Large Language Model Agents ↗TODAY 04:00 UTC

arXiv cs.LGInterpretable Inverse Design of Metal-Organic Frameworks with Large Language Model Agents ↗TODAY 04:00 UTC