Raman signatures of single point defects in hexagonal boron nitride quantum emitters

Abstract Point defects in solid-state quantum systems are vital for enabling single-photon emission at specific wavelengths, making their precise identification essential for advancing applications in quantum technologies. However, pinpointing the microscopic origins of these defects remains a challenge. In this work, we propose Raman spectroscopy as a robust strategy for defect identification. Using density functional theory, we characterize the Raman signatures of 100 defects in hexagonal boron nitride (hBN) spanning periodic groups III to VI, encompassing around 30,000 phonon modes. Our findings reveal that the local atomic environment plays a pivotal role in shaping the Raman lineshape. Furthermore, we demonstrate that Raman spectroscopy can differentiate defects based on their spin and charge states as well as strain-induced variations. The ability to resolve spin configurations offers a pathway to identifying defects with spins suitable for quantum sensing. Finally, an experimental concept using tip-enhanced Raman spectroscopy has been proposed in this work. Therefore, this study not only provides a comprehensive theoretical database of Raman spectra for hBN defects but also establishes a novel experimental framework to identify point defects. More broadly, our approach offers a universal method for defect identification in any quantum materials with spin configurations specific to any quantum application.

Authors

Institutions

Publication Details

Journal
npj Computational Materials
Published
2025-12-23
DOI
https://doi.org/10.1038/s41524-025-01921-x
Citations
1
Primary Topic
Diamond and Carbon-based Materials Research
Type
article
Field-Weighted Citation Impact
0.52

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Raman signatures of single point defects in hexagonal boron nitride quantum emitters

Volker Deckert, Tobias Vogl, Aslí Çakan, Sujin Suwanna et al.
1 citations
npj Computational Materials
Diamond and Carbon-based Materials Research
0.52
article

Raman signatures of single point defects in hexagonal boron nitride quantum emitters

Volker Deckert, Tobias Vogl, Aslí Çakan, Sujin Suwanna, Chanaprom Cholsuk
article en
1 citations

Abstract

Abstract Point defects in solid-state quantum systems are vital for enabling single-photon emission at specific wavelengths, making their precise identification essential for advancing applications in quantum technologies. However, pinpointing the microscopic origins of these defects remains a challenge. In this work, we propose Raman spectroscopy as a robust strategy for defect identification. Using density functional theory, we characterize the Raman signatures of 100 defects in hexagonal boron nitride (hBN) spanning periodic groups III to VI, encompassing around 30,000 phonon modes. Our findings reveal that the local atomic environment plays a pivotal role in shaping the Raman lineshape. Furthermore, we demonstrate that Raman spectroscopy can differentiate defects based on their spin and charge states as well as strain-induced variations. The ability to resolve spin configurations offers a pathway to identifying defects with spins suitable for quantum sensing. Finally, an experimental concept using tip-enhanced Raman spectroscopy has been proposed in this work. Therefore, this study not only provides a comprehensive theoretical database of Raman spectra for hBN defects but also establishes a novel experimental framework to identify point defects. More broadly, our approach offers a universal method for defect identification in any quantum materials with spin configurations specific to any quantum application.

npj Computational MaterialsVol. 12(1)
Mahidol University (TH), Leibniz Institute of Photonic Technology (DE), Munich Center for Quantum Science and Technology (DE), Technical University of Munich (DE), Friedrich Schiller University Jena (DE)
Deutsche Forschungsgemeinschaft, Mahidol University, Gauss Centre for Supercomputing, Leibniz-Gemeinschaft, Leibniz-Rechenzentrum
Openalex Percentile: Top 29%
Diamond and Carbon-based Materials Research
0.52
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.