24 oct 2024
Research engineer Ivan Polyakov from Tomsk Scientific Center of the Siberian Branch of the Russian Academy of Sciences is developing software for the automatic analysis of a large number of microstructure images obtained using metallographic and electron microscopes. With a user-friendly interface, a neural network created and trained specifically for the purposes, and a bunch of original algorithms, scientists hope to gain a streamlined access to material property data, such as porosity, grain size, and phase composition.