Machine Learning

Materials discovery and simulation can be an expensive, slow process. Our machine learning models aim to cut the simulation time of important semiconductor properties dramatically by providing machine learning models that can make accurate predictions quickly and cheaply.

Band Gap Prediction

Our band gap prediction model has achieved an R² value of 0.995 using a handful of materials properties.

Collaborate with Us

Do you need assistance with materials property prediction? Perhaps we can help. Get in touch with us.