Case Study: a leading glass manufacturer accelerates materials discovery with Citrine Informatics

Leading Glass Manufacturer Company - Customer Case Study

The customer, a leading glass manufacturer, faced a significant R&D challenge in optimizing both optical and mechanical properties in new materials while meeting strict manufacturability constraints. With tens of thousands of potential candidates but only two viable starting samples, they partnered with Citrine Informatics to leverage its AI platform and employ a machine learning strategy to accelerate their search.

Citrine Informatics implemented a sequential learning process on its platform, using an initial model trained on existing data to predict new candidate materials. The solution required synthesizing and testing only 81 samples over 18 weeks. As a result, Citrine helped the customer identify 23 high-performing materials that exceeded their existing product portfolio's performance. The project also provided strategic insights that guided R&D direction and enabled the reusable AI model to reduce setup time for new evaluations by 50%.