Fig. 4: Demonstration of our unsupervised ML method on the analysis of voids in polymeric systems.
From: Machine learning enabled autonomous microstructural characterization in 3D samples
The figure shows polysiloxane sample (top) and polyethylene sample (bottom). a, c Snapshots from atomistic MD simulations showing the identified void spaces. Individual voids are colored by their sizes. b, d Plots showing the size distribution of the voids. The distributions are normalized such that the shaded area equates to the total number of voids.
