Quantifying Spin Defect Density in hBN via Raman and Photoluminescence Analysis
Atanu Patra, Paul Konrad, Andreas Sperlich, Timur Biktagirov, Wolf Gero Schmidt, Lesley Spencer, Igor Aharonovich, Sven H\"ofling, and Vladimir Dyakonov

TL;DR
This paper introduces an all-optical, non-destructive method to quantify spin defect densities in hBN by correlating Raman and photoluminescence signatures, aiding quantum device development.
Contribution
It develops a novel empirical approach linking Raman and PL signals to defect densities, validated with DFT calculations, applicable to thin hBN flakes and various irradiation methods.
Findings
Identified Raman modes D1 and D2 as signatures of V_B^- defects.
Established a quantitative relationship between Raman/PL signals and defect density.
Achieved detection sensitivity down to 10^15 defects/cm^3.
Abstract
Negatively charged boron vacancies () in hexagonal boron nitride (hBN) are emerging as promising solid-state spin qubits due to their optical accessibility, structural simplicity, and compatibility with photonic platforms. However, quantifying the density of such defects in thin hBN flakes has remained elusive, limiting progress in device integration and reproducibility. Here, we present an all-optical method to quantify defect density in hBN by correlating Raman and photoluminescence (PL) signatures with irradiation fluence. We identify two defect-induced Raman modes, D1 and D2, and assign them to vibrational modes of using polarization-resolved Raman measurements and density functional theory (DFT) calculations. By adapting a numerical model originally developed for graphene, we establish an empirical relationship linking Raman (D1,…
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Taxonomy
TopicsDiamond and Carbon-based Materials Research · Boron and Carbon Nanomaterials Research · Semiconductor materials and devices
