Published August 19, 2023 | Version v1

QuantumDefectSilicon

Authors/Creators

  • 1. Dartmouth College

Description

The dataset used in the publication titled “High-throughput identification of spin-photon interfaces in silicon”. Using an automated first-principles computational workflow, we construct a dataset that details simple charged defects in silicon that are relevant for spin-photon interface applications. It encompasses properties vital for quantum defect design, including charged defect stability, excitation energy (determined using the single-shot hybrid functional approach), emission brightness, electronic structures, and more. The dataset encompasses all charged defects stable within the energy gap. We emphasized the importance of defect-bound excitons as telecom band emitters and proposed promising candidates for spin-photon interfaces.

Files

Files (52.9 MB)

Name Size Download all
md5:dee92e8fda4fee17cbab84dad217aafc
52.9 MB Download