SandboxAQ’s LQMs Accelerate Semiconductor Materials Discovery with AI

SandboxAQ is concentrating its materials discovery efforts on four specific categories: PFAS-free process chemicals, catalysts, rare earth-free magnets, and battery systems, to directly bolster the U.S. semiconductor manufacturing base. The company is deploying a new approach utilizing Large Quantitative Models, or LQMs, which combine physics-based simulation with machine learning in a proprietary architecture designed to overcome the traditionally slow pace of materials discovery. This focus on speed is critical because the ability to rapidly discover, validate, and commercialize new materials will define leadership in the semiconductor industry. “The…