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Point defects in Aluminium Nitride for quantum technologies

2023· dissertation· fr· W4395476333 sur OpenAlexfundno aff
A. Aghdaei

Notice bibliographique

RevueHAL (Le Centre pour la Communication Scientifique Directe) · 2023
Typedissertation
Languefr
DomaineEngineering
ThématiqueSemiconductor materials and devices
Établissements canadiensnon disponible
Organismes subventionnairesFonds de recherche du Québec – Nature et technologiesNatural Sciences and Engineering Research Council of CanadaCanada First Research Excellence FundUniversité de Sherbrooke
Mots-clésAluminium nitrideAluminiumNitridePoint (geometry)Computer scienceMaterials scienceNanotechnologyMetallurgyMathematics
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

Point defects strongly affect the electronic and optical properties of semiconductors: a better understanding of the impact of these defects on the performance of devices based on these materials is therefore of great technological interest. Over recent years, point defects have been shown to possess properties of interest for applications related to quantum computing, sensing, and communication. Point defects in AlN recently attracted considerable attention due to their ability to act as a qubit for quantum applications. Indeed, negatively charged nitrogen vacancies, group IV impurity (Ge, Sn, Ti, and Zr)–vacancy pairs, and, more recently, large metal ion (Y, La, Zr, and Hf )–vacancy pairs in AlN, have been theoretically reported as promising qubit candidates. This thesis presents the result of the study of various new point defects in AlN for quantum technology applications. The main goal of this exploratory project is to determine the influence of different implantation species and different thermal annealing conditions on the creation of point defects in AlN. Two types of AlN films were studied in this thesis, namely, single crystal AlN on the sapphire substrate and polycrystalline AlN layer on a highly-doped silicon substrate. First, we studied the formation of defects in AlN films (on the sapphire substrate), subjected to high-energy hydrogen and titanium ion implantation followed by thermal annealing under argon atmosphere at different temperatures. X-ray diffraction and Raman spectroscopy show that ion species and the implantation process could alter the amount of local strain in AlN films. Electron spin resonance spectroscopy reveals resonance peaks with g-value higher than that one of a free electron (2.0023) for both H-implanted and Ti-implanted AlN films after annealing for 1h at 1050 ◦C. The origin of these peaks is attributed to different types of point defects. For the Ti-implanted film, in addition to the central peak, a half-field resonance peak has been detected and assigned to spin-triplet (S=1), which might be interesting for quantum applications. The optical properties of defects in H-implanted and Ti-implanted AlN films were studied using a conventional PL setup exciting at 532 nm and 266 nm. It should be noted that the PL studies of the samples revealed a broad background, which could be associated with the sapphire substrate. This broad peak could potentially mask the PL peaks originating from point defects in AlN. Therefore, our subsequent studies will focus on the AlN films grown on highly doped Si substrates. Consequently, we have not examined the effects of Zr and Hf implantation on these AlN films. AlN on the silicon substrate films were implanted with hydrogen, titanium, zirconium, and Hafnium ions. To partially repair the structural damage caused by ion bombardment, the implanted samples were annealed at different temperatures and under different atmospheres including argon, nitrogen, and forming gas (FG, 95 % nitrogen + 5 % hydrogen). Our results show that the photoluminescence spectra of most of the annealed samples and the as-grown AlN films are very similar, which demonstrates that no new defects were introduced in AlN. The only exception was the Zr-implanted AlN films. For the AlN films subjected to high-energy Zr ion implantation, the X-ray diffraction, Raman spectroscopy, scanning electron microscopy, and atomic force microscopy measurements show that the structural and morphological properties of the Zr-implanted AlN films depend on the annealing gaseous environment. Post-implantation annealing under argon atmosphere yields the lowest structured surface roughness with increased grain size while the samples annealed under the forming gas atmosphere showed a high level of damage recovery and the lowest amount of oxygen in close proximity to the surface. Photoluminescence spectroscopy revealed multiple point defects and defect complexes related to emission bands in the visible range. A series of absorption bands have been observed using photoluminescence excitation spectroscopy. Compare to as-deposited AlN film, new emission and absorption peaks at 1.7 eV (730 nm) and 2.6 eV (466 nm), respectively, have been identified and attributed to the (ZrAl − VN )0 defect complexes. To study the emission from (ZrAl −VN )0 defect complexes, we designed a micro-PL setup whitin our research team. Using this setup, the optical properties of the emitters in Zr-implanted AlN films were studied. The study aimed to investigate the potential of these point defects for single photon emitter, applications. Hence, we chose the samples annealed under forming gas atmosphere due to their lower structural damage and the lowest level of oxygen at the surface. Our results reveal micrometer-sized bright spots with ZPL at 4 K at 685.5 nm (1.808 eV) and a lower energy phonon sideband around 700 nm. Based on our previous studies these spots are assigned to the (ZrAl−VN )0 defect complexes. Our results showed a relatively high Debye-Waller factor of around 18.5% at 4K, which might be interesting for quantum single-photon source applications. However, to investigate the potential of these defects as single-photon emitters an antibunching g(2)(τ) measurement is highly recommended. Our investigations into Hf and Ti-implanted AlN films on highly doped Si, did not reveal the emergence of any new PL peaks. Additionally, no ESR signal was detected in these samples. This lack of signal could be attributed to the relatively low annealing temperature employed in our study, which may not have been sufficient to facilitate the complete recovery of the AlN films from the damage caused by implantation. The different crystal structures of the AlN film may have also played a role in the absence of an ESR signal. Furthermore, the low concentration of paramagnetic defects present in the samples could have also contributed to the lack of signal. It is important to note that our study did not entirely rule out the possibility of PL peaks or ESR signals appearing with higher annealing temperatures or different implantation parameters. Further investigation into the effects of varying these parameters on the properties of Hf and Ti-implanted AlN films could provide valuable insights into the behavior of these materials under different conditions. Taken as a whole, the findings of this study underscore the importance of manipulating point defects in AlN for the purpose of advancing quantum applications and the development of optoelectronic materials. However, further refinements are necessary to enhance the density of these point defects, while concurrently minimizing the incidence of defect clusters and the occurrence of a high broadband PL signal level. Such improvements will be vital in ensuring the optimal performance of AlN-based devices for various applications, including sensing, photonics, and quantum information processing.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,000
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Expérimental (laboratoire) · Signal consensuel: Expérimental (laboratoire)
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,003
Score d'incertitude au seuil0,010

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,000
Communication savante0,0010,001
Science ouverte0,0000,000
Intégrité de la recherche0,0010,000
Charge utile insuffisante (le modèle a refusé de juger)0,0030,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,016
Tête enseignante GPT0,236
Écart entre enseignants0,220 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeExpérimental (laboratoire)
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2023
Routes d'admission1
Résumé présentoui

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