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Insilico Medicine and Saudi Aramco Advance AI-Driven MOF Discovery with sorbaMOF DB

Published

11 August 2026

Topic

opportunities

◆ Sectors

Clean Energy

◆ Geography

Saudi Arabia

◆ Source

Read at insilico.com →

◆ Verified

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.

◆ ◆ The Wire takeaway

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.

◆ Coverage

1 source · 11 Aug 2026

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◆ Topics

Clean Energycarbon-capturegenerative-aimaterials-discoverymofsdirect-air-capturesaudi-aramco