QuantumDefectSilicon
收藏NIAID Data Ecosystem2026-05-01 收录
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https://zenodo.org/record/8264817
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资源简介:
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.
创建时间:
2023-08-19



