Quantum point defects in 2D materials - the QPOD database

Atomically thin two-dimensional (2D) materials are ideal host systems for quantum defects as they offer easier characterisation, manipulation and read-out of defect states as compared to bulk defects. Here we introduce the Quantum Point Defect (QPOD) database with more than 1900 defect systems compr...

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Bibliographic Details
Main Authors: Ali, S. (Author), Bertoldo, F. (Author), Manti, S. (Author), Thygesen, K.S (Author)
Format: Article
Language:English
Published: Nature Research 2022
Subjects:
Online Access:View Fulltext in Publisher
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020 |a 20573960 (ISSN) 
245 1 0 |a Quantum point defects in 2D materials - the QPOD database 
260 0 |b Nature Research  |c 2022 
856 |z View Fulltext in Publisher  |u https://doi.org/10.1038/s41524-022-00730-w 
520 3 |a Atomically thin two-dimensional (2D) materials are ideal host systems for quantum defects as they offer easier characterisation, manipulation and read-out of defect states as compared to bulk defects. Here we introduce the Quantum Point Defect (QPOD) database with more than 1900 defect systems comprising various charge states of 503 intrinsic point defects (vacancies and antisites) in 82 different 2D semiconductors and insulators. The Atomic Simulation Recipes (ASR) workflow framework was used to perform density functional theory (DFT) calculations of defect formation energies, charge transition levels, Fermi level positions, equilibrium defect and carrier concentrations, transition dipole moments, hyperfine coupling, and zero-field splitting. Excited states and photoluminescence spectra were calculated for selected high-spin defects. In this paper we describe the calculations and workflow behind the QPOD database, present an overview of its content, and discuss some general trends and correlations in the data. We analyse the degree of defect tolerance as well as intrinsic dopability of the host materials and identify promising defects for quantum technological applications. The database is freely available and can be browsed via a web-app interlinked with the Computational 2D Materials Database (C2DB). © 2022, The Author(s). 
650 0 4 |a Antisites 
650 0 4 |a Atomic simulations 
650 0 4 |a Bulk defects 
650 0 4 |a Charge state 
650 0 4 |a Computation theory 
650 0 4 |a Database systems 
650 0 4 |a Defect density 
650 0 4 |a Defect state 
650 0 4 |a Defect states 
650 0 4 |a Density functional theory 
650 0 4 |a Density-functional theory calculations 
650 0 4 |a Intrinsic point defects 
650 0 4 |a Photoluminescence 
650 0 4 |a Point defects 
650 0 4 |a Quantum defects 
650 0 4 |a Quantum point 
650 0 4 |a Quantum theory 
650 0 4 |a Two-dimensional 
700 1 0 |a Ali, S.  |e author 
700 1 0 |a Bertoldo, F.  |e author 
700 1 0 |a Manti, S.  |e author 
700 1 0 |a Thygesen, K.S.  |e author 
773 |t npj Computational Materials