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Insilico Medicine and Saudi Aramco Advance AI-Driven MOF Discovery with sorbaMOF DB
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Fusion42 · 23 August 2026 · Fusion42 review
Insilico Medicine and Saudi Aramco have developed sorbaMOF DB, a high-quality dataset of around 240,000 metal-organic frameworks (MOFs) structures validated and combined with interpretable AI to improve direct air capture (DAC) of CO₂. This joint effort addresses critical data gaps and creates a transferable computational protocol to enhance material discovery for carbon capture under realistic conditions.
This Wire brief sits within Fusion42's coverage of Clean Energy.
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You can now build on a validated AI-driven MOF dataset that bridges simulation with experimental reality for carbon capture. This clears a pathway to faster development and better material selection for CO₂ removal technologies.
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1 source · 11 Aug 2026
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