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Probing atomic-scale symmetry breaking by rotationally invariant machine learning of 4D-STEM Data.
Probing atomic-scale symmetry breaking by rotationally invariant machine learning of 4D-STEM Data.
2021
Mark P. Oxley
Maxim Ziatdinov
Ondrej Dyck
Andrew R. Lupini
Rama K. Vasudevan
Sergei V. Kalinin
Keywords:
Symmetry breaking
Physics
Theoretical physics
Atomic units
Invariant (mathematics)
Correction
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