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Two-Dimensional Quantum Material Identification via Self-Attention and Soft-Labeling in Deep Learning

Detecting two-dimensional (2D) materials in silicon chips presents a significant challenge in the field of quantum machines due to the difficulty of data collection. Specifically, among thousands of flakes, not all flakes are useful or well-annotated, resulting in noisy and hard samples within the d...

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Váldodahkkit: Xuan Bac Nguyen, Apoorva Bisht, Benjamin Thompson, Hugh Churchill, Khoa Luu, Samee U. Khan
Materiálatiipa: Artigo
Giella:Inglês
Almmustuhtton: IEEE 2024-01-01
Ráidu:IEEE Access
Fáttát:
Liŋkkat:https://ieeexplore.ieee.org/document/10684707/
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