Fig. 3: Clustering results on WS2–WSe2 superlattices. | npj Computational Materials

Fig. 3: Clustering results on WS2–WSe2 superlattices.

From: Uncovering material deformations via machine learning combined with four-dimensional scanning transmission electron microscopy

Fig. 3: Clustering results on WS2–WSe2 superlattices.

a ADF-STEM images of the 2D multi-junction superlattice with a zoomed-in area shown in the inset. The ADF contrast is dominated by heavy tungsten atoms, thus no superlattice structure appears. Scale bar, 500 nm. b Real-space map of the clustering results from the 4D dataset of the WS2–WSe2 multi-junction sample, where different flakes are identified from the substrate. c Zoomed-in real-space maps of the multi-junction sample area shown in the red box in (a). d Real-space map of the sub-clustering results in WSe2 with two colors indicating different strain profiles. e Real-space map of another clustering round on each subcluster in (d), providing more structural details of lattice ripples in WSe2 due to the strain.

Back to article page