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HyperAI Super Neural
HyperAI Super Neural
Jan 15, 2026 · Artificial Intelligence

97% Accuracy: MOFSeq‑LMM Uses LLMs to Efficiently Predict MOF Synthesizability

A joint Princeton and Colorado School of Mines team introduced MOFSeq‑LMM, a large‑language‑model‑based framework that leverages a million‑scale MOF dataset and a novel string representation to predict free energy with MAE 0.789 kJ/mol and synthesizeability with 97% F1, dramatically accelerating high‑throughput MOF screening.

LLMMOFsMaterials Informatics
0 likes · 15 min read
97% Accuracy: MOFSeq‑LMM Uses LLMs to Efficiently Predict MOF Synthesizability
HyperAI Super Neural
HyperAI Super Neural
Nov 20, 2025 · Artificial Intelligence

From 9,874 Papers to 15,000 Structures: MOF‑ChemUnity Rebuilds MOF Knowledge for Explainable AI

MOF‑ChemUnity constructs a scalable, extensible knowledge graph that links millions of MOF names and synonyms to over 15,000 crystal structures using LLM‑driven entity matching, enabling accurate, explainable AI‑assisted material discovery, water‑stability prediction, expert recommendation validation, and graph‑enhanced retrieval across diverse applications.

Graph RAGKnowledge GraphLarge Language Model
0 likes · 17 min read
From 9,874 Papers to 15,000 Structures: MOF‑ChemUnity Rebuilds MOF Knowledge for Explainable AI