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arXiv · 2610.34549

MOFjson: An Explicit Topological Representation of Metal-Organic Frameworks for Language Models

Anabel Yong·Matthew Hart·Philippe Schwaller
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Abstract

Language models for metal-organic frameworks (MOFs) rely on formats that separate atomic geometry from structural topology, forcing models to choose between unstructured coordinate lists and non-spatial string identifiers[1]. We present MOFjson, the first representation separating structural data into a raw atomic layer with explicit bond shift vectors and a derived layer exposing secondary building units (metal nodes and organic linkers) and network topology. Additionally, we introduce a benchmark with crystal-derived ground truth across four question categories. Across four models, MOFjson beats all three baselines in every category: 100% vs. 18-47% on reaching a block's nearest periodic copy, 96% vs. 71% on crystal system characterisation, and 60% vs. 48% on metal node and organic linker coordination. Ablating shift labels drops accuracy to 12.7%, proving models read the periodic graph rather than the surface format. MOFjson gives language models structure to read rather than reconstruct, establishing a foundation for agentic tool workflows and constrained MOF generation.

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Anabel Yong, Matthew Hart, Philippe Schwaller. 2026-10-25. MOFjson: An Explicit Topological Representation of Metal-Organic Frameworks for Language Models. https://arxiv.org/abs/2610.34549

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