SandboxAQ Boosts Quantum Platform to Revolutionize U.S. Manufacturing and Counter China's Material Dominance
June 17, 2026
SandboxAQ will enhance its ReAQT platform and Large Quantitative Models to virtually screen millions of candidate materials, selecting top contenders for lab validation and eventual commercialization with U.S. manufacturing partners.
The effort aims to advance breakthroughs to scaled domestic manufacturing with American partners, strengthening national and economic security.
ReAQT and LQMs are trained on physics, chemistry, and biology laws rather than human language, enabling rapid, physics-grounded discovery prior to laboratory testing.
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The arrangement mirrors a government venture investment, echoing recent quantum computing awards, positioning the U.S. to reduce China’s dominance in critical chip materials like rare-earth magnets.
The press release is sourced from NIST and placed within a broader briefing of HPC and semiconductor industry news.
The investment is a research bet rather than a guaranteed product, supporting exploration and early development without an immediate market-ready solution.
SandboxAQ’s leadership notes the government’s stake carries no voting rights or board seat, with other backers including Google, Eric Schmidt, and Ray Dalio.
Funding targets four programmatic areas: PFAS-free process chemicals, catalysts, rare-earth-free magnets, and battery systems.
Programmatic areas include PFAS-free chemistry development; catalysts screened with near-quantum-chemistry accuracy via AQCat workflows; magnets reducing neodymium and rare-earth dependence; and battery chemistries minimizing reliance on lithium and overseas materials.
Together, these areas aim to cut dependence on external sources: PFAS-free heat-transfer fluids and coatings, advanced catalysts for ultra-pure gas generation, magnets with reduced rare-earth demand, and lithium-light battery chemistries.
Secretary of Commerce emphasizes strengthening America’s semiconductor supply chain and reducing reliance on foreign-controlled materials.
Summary based on 7 sources
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Sources

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