Fig. 1: Datasets of structure models and filtration processes for persistent homology calculation. | Communications Materials

Fig. 1: Datasets of structure models and filtration processes for persistent homology calculation.

From: Structural changes during glass formation extracted by computational homology with machine learning

Fig. 1: Datasets of structure models and filtration processes for persistent homology calculation.

Structure models of Pd80Si20 metallic glass prepared by molecular dynamics simulation for a linear regression analysis (LRA) and b principal component analysis (PCA). Filtration processes for calculating the persistence diagrams for c holes made at the centre of Pd clusters (configurations with Pd only) and d rings formed in the Si network (configurations with Si only).

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