LitMOF repairs 8,771 erroneous MOF structures and adds 12,646 previously missing ones from literature, yielding a database of 186,773 computation-ready entries and demonstrating that uncorrected errors distort adsorption rankings.
A multi-modal pre-training transformer for universal transfer learning in metal–organic frameworks
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LitMOF: An LLM Multi-Agent for Literature-Validated Metal-Organic Frameworks Database Correction and Expansion
LitMOF repairs 8,771 erroneous MOF structures and adds 12,646 previously missing ones from literature, yielding a database of 186,773 computation-ready entries and demonstrating that uncorrected errors distort adsorption rankings.