Analysis of Materials Science Samples

Materials scientists try to develop new types of materials. Testing to see whether their properties are desirable can be time and resource intensive process.

Instead of extensive testing of the new material, researchers can combine images of the new material with a microscope and combine it with information gathered during the manufacturing process to try and predict the most promising materials. This machine learning based process saves time and therefore R&D spend and therefore accelerates progress to market.

Modulos AutoML can take combinations of tabular data, such as the data gathered during manufacture, together with images, taken by a microscope and train a machine learning classifier.