Benchmark Tests of Atom Segmentation Deep Learning Models with a Consistent Dataset
Benchmark Tests of Atom Segmentation Deep Learning Models with a Consistent Dataset
The information content of atomic-resolution scanning transmission electron microscopy (STEM) images can often be reduced to a handful of parameters describing each atomic column, chief among which is the column position. Neural networks (NNs) are high performance, computationally efficient methods to automatically locate atomic columns in images, which has led …