A ResNet18 model classifies surface chirality from atomic models at ~73% accuracy and from Fermi surface projections at ~99% accuracy, transferring to experimental synchrotron images after fine-tuning on two frames.
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Decoding Crystallographic Surface Chirality with Machine Learning: From Atomic Geometry to Fermi Surface Projections
A ResNet18 model classifies surface chirality from atomic models at ~73% accuracy and from Fermi surface projections at ~99% accuracy, transferring to experimental synchrotron images after fine-tuning on two frames.