SandboxAQ announced a definitive agreement with the U.S. Department of Commerce’s CHIPS Research and Development Office for a $500 million award aimed at reducing U.S. dependence on foreign-controlled materials and chemistries essential to semiconductor manufacturing. The funding will support research, validation, domestic manufacturing, and commercialization efforts across four strategic technology areas: PFAS-free semiconductor process chemicals, advanced catalysts, rare earth-free permanent magnets, and alternative battery chemistries for semiconductor fabrication facilities.
The company plans to leverage its ReAQT simulation platform and physics-based Large Quantitative Models (LQMs) to accelerate the discovery of new materials. Unlike conventional AI models trained primarily on human-generated data, SandboxAQ’s LQMs are trained on physics, chemistry, and biology, enabling large-scale simulation and screening of candidate materials before laboratory validation. The company said the platform can evaluate millions of potential compounds and formulations, significantly reducing traditional development timelines.
As part of the agreement, SandboxAQ will work with U.S.-based manufacturing partners to commercialize successful materials and formulations. The Department of Commerce will also receive a minority, non-voting equity stake in SandboxAQ. The award aligns with broader U.S. efforts to strengthen domestic semiconductor supply chains, reduce reliance on overseas suppliers, and secure critical technologies that support advanced manufacturing and national security.
• $500 million CHIPS R&D award from the U.S. Department of Commerce
• Focus areas include PFAS-free semiconductor chemicals, advanced catalysts, rare earth-free magnets, and battery chemistries
• SandboxAQ will use its ReAQT platform and Large Quantitative Models (LQMs) to accelerate materials discovery
• Program targets domestic manufacturing and commercialization through U.S.-based partners
• Commerce Department receives a minority, non-voting equity stake in SandboxAQ
• AQCat catalyst workflows incorporate 13.5 million quantum chemistry calculations developed in collaboration with NVIDIA
• Battery research will focus on alternatives to lithium and other materials with foreign supply-chain dependencies
Jack Hidary, CEO of SandboxAQ, said: “Securing America’s semiconductor future means controlling the materials that drive this vital sector. SandboxAQ’s Large Quantitative Models are grounded in the engineering and physics needed to address the needs of our domestic semiconductor sector.”
🌐 Analysis
The award marks one of the largest federal investments to date in the emerging category of physics-based AI for scientific discovery. While much of the semiconductor industry’s AI focus has centered on chip design automation and manufacturing optimization, SandboxAQ is applying AI directly to the discovery of foundational materials used throughout semiconductor fabrication. The initiative extends beyond wafer production itself, targeting upstream dependencies such as specialty chemicals, catalysts, magnetic materials, and energy storage systems that remain concentrated in foreign supply chains.
The announcement also highlights a growing convergence between AI infrastructure and materials science. SandboxAQ’s ReAQT platform combines high-fidelity simulation methods, including density functional theory and molecular dynamics, with AI models trained on physics-based data. This approach mirrors broader industry efforts by companies such as NVIDIA, Microsoft, Google, and major national laboratories that increasingly use AI to accelerate scientific research and advanced materials development. The inclusion of domestic manufacturing and commercialization objectives suggests the program aims not only to generate new discoveries but also to rebuild portions of the U.S. semiconductor materials ecosystem.
For the CHIPS program, the award represents a shift beyond fabrication capacity expansion toward securing critical upstream inputs. Recent CHIPS investments have focused heavily on semiconductor manufacturing facilities, advanced packaging, and research infrastructure. This initiative targets strategic vulnerabilities in the semiconductor supply chain that include PFAS regulations, rare-earth dependence, catalyst availability, and energy resiliency for semiconductor fabs.
| Profile: SandboxAQ | |
|---|---|
| Headquarters | Palo Alto, California, USA |
| CEO | Jack Hidary |
| Founded | 2022 (Moonshot spinout from Alphabet) |
| Business Focus | Enterprise B2B software solutions leveraging quantitative AI and advanced quantum computing applications. |
| Core Technology | Large Quantitative Models (LQMs) Grounded in the laws of physics, chemistry, biology, and math. |
| Flagship Platforms | AQChemSim & AQBioSim simulation frameworks, powered by their core ReAQT engine, alongside AQtive Guard for cryptography. |
| Semiconductor Focus | Virtual screening of PFAS-free alternatives, advanced catalysts, heavy-rare-earth-free magnets, and resilient solid-state facility backup batteries. |
| Notable Alliances | NVIDIA (AQCat integration), U.S. National Laboratories, and premier global industrial and biopharma enterprises. |
| Latest Milestone |
$500M CHIPS R&D Definitive Award Granted by the U.S. Department of Commerce in exchange for a minority, non-voting equity position to secure domestic manufacturing supply lines. |
| Key Investors | NVIDIA, Google, Eric Schmidt, T. Rowe Price, Ray Dalio, Marc Benioff, Thomas Tull, Breyer Capital, IQT, S32, Paladin Capital, USIT. |
| Strategic Focus | “Leveraging physics-grounded AI architectures to bypass legacy physical trial-and-error, compressing critical deep-tech discovery lifecycles from decades to weeks.” |
