Quantifying Spin Defect Density in hBN via Raman and Photoluminescence Analysis

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, an all‐optical method is presented to quantify defect density in hBN by correlating Raman and photoluminescence (PL) signatures with irradiation fluence. Two defect‐induced Raman modes, D1 and D2, are identified and assigned 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, an empirical relationship linking Raman (D1, E 2g ) and PL intensities is established to absolute defect densities. This method is universally applicable across various irradiation types and uniquely suited for thin flakes, where conventional techniques fail. The approach enables accurate, direct, and non‐destructive quantification of spin defect densities down to 10 15 defects/cm 3 , offering a powerful tool for optimizing and benchmarking hBN for quantum optical applications.

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Publication Details

Journal
Advanced Functional Materials
Published
2025-10-29
DOI
https://doi.org/10.1002/adfm.202517851
Citations
2
Primary Topic
Graphene research and applications
Type
article
Field-Weighted Citation Impact
1.04

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Quantifying Spin Defect Density in hBN via Raman and Photoluminescence Analysis

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2 citations
Advanced Functional Materials
Graphene research and applications
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article

Quantifying Spin Defect Density in hBN via Raman and Photoluminescence Analysis

Igor Aharonovich, Andreas Sperlich, Lesley Spencer, Vladimir Dyakonov, Timur Biktagirov, W. G. Schmidt, P. Konrad, Atanu Patra
article en
2 citations

Abstract

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, an all‐optical method is presented to quantify defect density in hBN by correlating Raman and photoluminescence (PL) signatures with irradiation fluence. Two defect‐induced Raman modes, D1 and D2, are identified and assigned 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, an empirical relationship linking Raman (D1, E 2g ) and PL intensities is established to absolute defect densities. This method is universally applicable across various irradiation types and uniquely suited for thin flakes, where conventional techniques fail. The approach enables accurate, direct, and non‐destructive quantification of spin defect densities down to 10 15 defects/cm 3 , offering a powerful tool for optimizing and benchmarking hBN for quantum optical applications.

Advanced Functional MaterialsVol. 36(20)
University of Technology Sydney (AU), Paderborn University (DE), University of Würzburg (DE), Complexity, Topology and Dynamics in Quantum Matter (DE), ARC Centre of Excellence for Transformative Meta-Optical Systems (AU)
Asian Office of Aerospace Research and Development, Deutsche Forschungsgemeinschaft
Openalex Percentile: Top 21%
Graphene research and applications
1.04
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