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SandboxAQ

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2026-08-20

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  1. 2026-08-20 / RESEARCHSandboxAQ Puts AQCat Catalyst Screening Inside Claude Science Over MCPSandboxAQ announced on 2026-08-19 that AQCat, its spin-aware Large Quantitative Model for predicting catalyst adsorption energy, is now generally available inside Claude Science through the Model Context Protocol, so researchers query it in natural language without writing code. The company claims evaluation up to 20,000 times faster than conventional methods at accuracy approaching DFT, processing thousands of candidate materials per session against fewer than 100 per week with traditional lab methods. AQCat is trained on AQCat25, a dataset of 13.5 million high-fidelity DFT calculations across 47,000 intermediate-catalyst systems, with the spin awareness aimed at earth-abundant iron, cobalt and nickel catalysts. Vendor-sourced performance figures, so treat the speedup number as a claim rather than an independent measurement.
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