Hamiltonian learning with real-space impurity tomography in topological moiré superconductors

Extracting Hamiltonian parameters from available experimental data is a challenge in quantum materials. In particular, real-space spectroscopy methods such as scanning tunneling spectroscopy allow probing electronic states with atomic resolution, yet even in those instances extracting the effective...

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Detalles Bibliográficos

Autores principales:	Maryam Khosravian, Rouven Koch, Jose L Lado
Formato:	Artigo
Lenguaje:	Inglês
Publicado:	IOP Publishing 2024-01-01
Colección:	JPhys Materials
Materias:	topological superconductivity machine learning deep learning van der Waals heterostructures Moiré materials
Acceso en línea:	https://doi.org/10.1088/2515-7639/ad1c04
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