Unknown

Dataset Information

Identification of an Oxygen Defect in Hexagonal Boron Nitride.


ABSTRACT: Paramagnetic fluorescent defects in two-dimensional hexagonal boron nitride (hBN) are promising building blocks for quantum information processing. Although numerous defect-related single-photon sources and a few quantum bits have been found, except for the boron vacancy, their identification is still elusive. Here, we demonstrate that the comparison of experimental and first-principles simulated electron paramagnetic resonance (EPR) spectra is a powerful tool for defect identification in hBN, and first-principles modeling is inevitable in this process as a result of the dense nuclear spin environment of hBN. In particular, a recently observed EPR center is associated with the negatively charged oxygen vacancy complex by means of the many-body perturbation theory method on top of hybrid de

SUBMITTER: Li S 

PROVIDER: S-EPMC9589898 | biostudies-literature | 2022 Oct

REPOSITORIES: biostudies-literature