MétaCan
Menu
Retour à la cohorte
Enregistrement W2889400658

The Electronic and Magnetic Effects of 3d Transition Metal Impurities in Semiconductors

2018· dissertation· en· W2889400658 sur OpenAlexaboutno aff
Brett Leedahl

Notice bibliographique

Revuenon disponible
Typedissertation
Langueen
DomainePhysics and Astronomy
ThématiqueSurface and Thin Film Phenomena
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésImpurityCondensed matter physicsSemiconductorMaterials scienceTransition metalMagnetic semiconductorChemistryPhysicsOptoelectronicsQuantum mechanics
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

The subject of this dissertation is concerned almost exclusively with soft x-ray spectroscopy of the 3d transition metals. These relatively common metals, owing to their widespread availability, are already used in all facets of technology. Stainless steel is largely chromium, iron, and nickel; copper wires transmit nearly all of our electricity; nickel is used in the making of margarine. Their wide range of electronic properties, strength, and usefulness in chemical reactions underpins their versatility to the point where they are used in essentially everything we manufacture. Key to this thesis is their ability to induce magnetism. If realized, spintronic technologies would harness the semiconducting electronic properties of a material, while also utilizing the induced magnetic properties to transport spin polarized charge. The ability to advance digital logic (0s and 1s) from its current state as on/off switches controlled solely via current, to the spintronic method of flipping spins to an up or down state, would have vast consequences for the computing world. Heat dissipation and cooling issues would largely vanish, and computing speed would show large improvements, while being non-volatile when power is lost.\n\nSuccinctly put, the broad goal of my studies focused on how transition metal impurities doped into host semiconductors in small proportions can influence the host material's electronic and magnetic properties. This was accomplished primarily through modelling experimental spectra with theoretical calculations, and then extracting information through their agreement. In doing this, it is possible to determine fundamental quantitative properties of for each 3d ion, and how each ion situates itself within the host lattice. This information can then be linked back to known properties of the material in order to determine which 3d ions, host materials, and synthesis conditions show promise for spintronic or other related technologies.\n\nFor the study concerning Bi2Te3 it was shown that the various transition metals Cr, Mn, Fe, Co, Ni, and Cu each integrate themselves into the host crystal in a particular fashion. Manganese atoms substitute cleanly into Bi sites; chromium atoms are not absorbed into the bulk, but only the surface; iron prefers a mixture of oxidation states; and for cobalt and nickel a mixture of configurations was found. Similarly, with host materials TiO2 and ZnO, DFT calculations predicted that the probability of substitution by a transition metal atom into a Zn or Ti site decreased in probability as the atomic number of the dopant metal atom increases, with a greater chance of metallic clustering in TiO2. Spectroscopic measurements, along with crystal field calculations confirmed these trends though modelling and direct comparison of calculation and experiment. This allowed us to extract real physical properties of the system, such as oxidation state, local symmetry, and effects d-orbital energies, via the calculation parameters. \n\nIn the ferromagnetic compound NiFe2O4, the Fe atoms are responsible for the magnetism, but are in three different unique sites of various oxidation states and symmetries. By theoretically modelling x-ray magnetic circular dichroism experiments I have shown how these three sites can be readily distinguished, and how the interplay between their individual contributions to the magnetism are necessary to understand how the bulk magnetism arises. Furthermore, only through modelling the experimental XMCD with calculations can it be understood how aluminum alloying affects the overall magnetism. As more non-magnetic aluminum atoms replace magnetic iron atoms, the overall strength of the magnetism does not continuously decrease, but in fact begins to increase again at a certain point; this unexpected and unintuitive result can only be explained using the methodology described above.\n\nStructural changes in regular white TiO2 occur under a high pressure atmosphere that cause it to turn black, as a result of mid band gap states forming. I was able to adapt a generally hard x-ray technique (EXAFS) to the soft x-ray regime using the capabilities of the REIXS beamline at the Canadian Light Source to probe the change in interatomic distances between the white and black materials and observe the undergone structural changes. The shift in atomic distances were then compared to distorted structures of the nominal material and a distortion in the vicinity of an oxygen vacancy were able to solve the dilemma of the nature of the distortion. \n\nThe Chelyabinsk meteorite had a thermomagnetic analysis performed on it to determine the various Curie temperatures of the magnetic materials contained in it, which consists of nickel and iron. Through comparisons with magnetic phase charts, we showed that the meteorite contains an iron-nickel alloy, which is quite common. But the breakthrough finding that had not been observed before was the discovery of an extremely pure form of iron, which hadn't ever been observed to occur naturally before.

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 enseignants0,001
Score d'incertitude au seuil0,003

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 savante0,0010,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0010,000

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 Opus0,002
Tête enseignante GPT0,204
Écart entre enseignants0,202 · 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
Publié2018
Routes d'admission1
Résumé présentoui

Explorer davantage

Même sujetSurface and Thin Film PhenomenaTravaux en français237 207