Department of Commerce Announces Definitive Agreement with SandboxAQ for a $500 Million CHIPS R&D Award to Accelerate Al-Driven Semiconductor Materials Discovery

2026-06-17 · Source: National Institute of Standards and Technology · Field: Technology & Digital — Artificial Intelligence & Machine Learning, Emerging Technologies & Innovation, Engineering & Applied Sciences · Depth: Fundamental Awareness, short

Summary

The Department of Commerce's CHIPS Research & Development Office announced a definitive agreement on June 17, 2026, awarding SandboxAQ \$500 million under the CHIPS and Science Act. This significant award aims to accelerate the development and deployment of SandboxAQ's AI-driven materials discovery platform, addressing critical semiconductor materials bottlenecks and supply chain risks. The platform combines first-principles physics and chemistry simulation, AI optimization, high-throughput screening, and experimental validation to compress traditional materials development timelines. Key programmatic areas include developing PFAS-free process chemicals for semiconductor manufacturing, next-generation high-purity catalysts for fabrication, rare earth-free magnets using domestically sourced elements (reducing reliance on China's 90% control of neodymium magnets), and advanced battery chemistries for semiconductor facility backup power. The initiative seeks to strengthen U.S. economic and national security by reducing dependence on foreign-controlled critical materials.

Key takeaway

For Directors of AI/ML or Research Scientists focused on semiconductor manufacturing, this \$500 million CHIPS R&D award signals a clear strategic direction towards AI-driven materials innovation. You should prioritize exploring AI-accelerated platforms for discovering novel chemistries and materials, especially for critical components like PFAS alternatives, rare earth-free magnets, and advanced battery solutions. Consider applying for CHIPS R&D grants to align your research with national security and supply chain resilience objectives.

Key insights

AI-driven materials discovery, backed by significant government investment, accelerates critical semiconductor supply chain resilience.

Principles

• AI-accelerated materials discovery reduces development timelines.
• Domestic sourcing of critical materials enhances national security.
• Public-private partnerships can de-risk strategic technology development.

Method

SandboxAQ's platform integrates first-principles physics/chemistry simulation, AI optimization, high-throughput screening of millions of candidates, and targeted experimental validation to identify novel materials.

In practice

• Develop PFAS-free chemicals for semiconductor manufacturing.
• Create rare earth-free magnets from domestic elements.
• Design advanced battery chemistries for facility backup power.

Topics

• Semiconductor Materials
• AI-driven Discovery
• CHIPS Act
• Supply Chain Resilience
• PFAS Alternatives
• Rare Earth Magnets
• Battery Chemistry

Best for: AI Scientist, Investor, CTO, Policy Maker, Director of AI/ML, Research Scientist

Related on AIssential

• Dunia Innovations unveils €280M Berlin GigaLab to industrialise AI-driven materials discovery — The bottleneck in AI-driven materials discovery has shifted from candidate generation to industrial-scale experimental verification.
• Automated 2D semiconductor screening could speed low-power AI chip development — Automated screening of 2D semiconductors by KAIST researchers revealed thickness-performance relationships, speeding low-power AI chip development.
• AI breakthrough could replace rare earth magnets in electric vehicles — AI can dramatically accelerate the discovery of new high-temperature magnetic materials, reducing rare-earth dependence.
• CuspAI lands $450m round to accelerate AI materials discovery — AI-driven materials discovery is attracting significant investment and strategic partnerships to address critical industrial needs.
• AI materials discovery now needs to move into the real world — AI-driven autonomous labs aim to revolutionize materials discovery by accelerating synthesis and testing, despite current limitations.
• A Leading Global AI Hyperscaler Selects ATLANT 3D’s NANOFABRICATOR® Platform for Setting AI-Driven Materials Discovery Lab — ATLANT 3D's platform bridges AI-driven materials discovery with atomic-scale experimental validation and manufacturing scale-up.

See Counsel's argued verdicts on the open AI decisions leaders are weighing →

Open in AIssential →

Editorial summary, takeaway, and curation by AIssential. Original article published by National Institute of Standards and Technology.