Citrine | VirtualLab
A powerful AI system that lets your researchers find better results more quickly, by conducting virtual experiments before they go into the lab
Working with Small Data Sets
The Citrine Platform was designed from the outset to work well on the small, sparse data that materials companies usually have. We’ve tackled projects with fewer than 30 initial data points.
Using Your Experts’ Domain Knowledge
A graphical model enables researchers to see how components fit together and facilitates the integration of expert domain knowledge. The machine learning models fill in gaps in knowledge, not in relearning the basics.
Once built, each component can be used as part of other AI and machine learning projects in your company, contributing to a library of codified domain knowledge that researchers across the team can use.
Sequential Learning Workflows
The Citrine Platform powers the next generation of experiment design. Using iterative, proprietary calculations that factor in uncertainty, you can efficiently and systematically see how each of your desired parameters might perform.
Learn how Citrine’s platform supported Panasonic as it developed new organic semiconductors.
Explore how HRL reduced development time from years to days using the Citrine Platform.
Discover how CVM screened 2500+ polymers in only 5 months. Researchers now know the most promising 10 polymers for a given target.