A neural network trained on synthetic ARPES spectra from the open-source simulator aurelia can predict spectral quality on real Bi2Se3 data and locate optimal regions, though the underlying quality labels are heuristic.
Probing the electronic structure of complex systems by ARPES
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A simulation-based training framework for machine-learning applications in ARPES
A neural network trained on synthetic ARPES spectra from the open-source simulator aurelia can predict spectral quality on real Bi2Se3 data and locate optimal regions, though the underlying quality labels are heuristic.