Seeing moiré: Convolutional network learning applied to twistronics
Moiré patterns made of two-dimensional (2D) materials represent highly tunable electronic Hamiltonians, allowing a wide range of quantum phases to emerge in a single material. Current modeling techniques for moiré electrons require significant technical work specific to each material, impeding large...
Main Authors: | , , |
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Format: | Article |
Language: | English |
Published: |
American Physical Society
2022-12-01
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Series: | Physical Review Research |
Online Access: | http://doi.org/10.1103/PhysRevResearch.4.043224 |