Atypical Excitonic Zeeman Splitting Pattern in Magnetically Doped In<sub>2</sub>O<sub>3</sub> Nanocrystals: Competition between Native Defects and Dopants
Bibliographic record
Abstract
Spin exchange interactions between transition metal dopants and electronic band charge carriers are responsible for spin polarization in diluted magnetic semiconductor (DMS) nanocrystals and their application in spintronics. Semiconducting metal oxides, such as In 2 O 3, are promising host lattices for DMS oxides (DMSOs) owing to the high density and mobility of free charge carriers and their transparency and stability. While excitonic Zeeman splitting due to dopant-related spin exchange is much stronger than intrinsic Zeeman splitting in II–VI DMS nanocrystals, the relationship between dopant-induced and intrinsic Zeeman effects in DMSOs is poorly understood. Using a composition-based series of Co 2+ -doped In 2 O 3 nanocrystals and employing magnetic circular dichroism spectroscopy, we show that the excitonic Zeeman splitting induced by singly charged oxygen vacancies and Co 2+ dopant ions has the opposite polarity but comparable magnitude, resulting in anomalous dependence of the exciton polarization on the Co 2+ doping concentration. Furthermore, the exchange coupling between the excitonic states and Co 2+ is strongly dependent on the NC volume for sizes approaching the quantum confinement regime but largely independent of the radial position of the dopants for larger NCs due to the spatially homogeneous wave function of the exciton. The results of this work provide new insights into the origin of excitonic Zeeman splitting in DMSO nanocrystals, enabling their application in spintronics and quantum information technologies.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".