Case Study: SLAC National Accelerator Laboratory achieves autonomous nanoparticle optimization in 12 hours with Citrine Informatics

SLAC National Accelerator Laboratory optimizes nanoparticles in 12 hours with Citrine Informatics

The customer, SLAC National Accelerator Laboratory, partnered with Citrine Informatics to address the complex challenge of synthesizing colloidal platinum nanoparticles with tightly controlled size and shape distributions for catalysis. Traditional methods lacked a unified framework to reliably produce these materials, making the process time-consuming and resource intensive.

Citrine Informatics implemented its AI software platform to create a closed-loop, autonomous synthesis system. This system used machine learning to guide a computer-controlled reactor, iteratively running experiments to optimize the synthesis parameters. The solution successfully identified a recipe meeting all constraints in just 12 hours, performing over 50 unique syntheses in 24 hours and demonstrating Citrine's ability to accelerate development even with no initial data.

SLAC National Accelerator Laboratory