Abstract We demonstrate that doping hydroxyapatite (HAp) with Cr3+ions induces oxygen vacancies, contributing to paramagnetism. Cathodoluminescence and photoluminescence analyses reveal increased oxygen vacancy formation in$${\text{O}}{\text{H}}^{-}$$ and$${\text{P}}{\text{O}}_{4}^{3-}$$ groups with rising Cr3+concentrations, highlighted by stronger cathodoluminescence emissions at 2.57 and 2.95 eV and the photoluminescence emission at 3.32 eV. Raman spectroscopy shows new modes at 900 and 970 cm−1, indicating distortion of thev1vibrational mode due to Cr3+substitution at Ca(II) sites of the HAp lattice. X-ray photoelectron spectroscopy confirms Cr3+in the HAp:Cr. Magnetometry reveals a shift from diamagnetism in pure HAp to increasing paramagnetism in HAp:Cr with higher Cr3+content, achieving 0.0460 emu/g at 10 kOe with concentrations higher than 2.9 at.%. This paramagnetism is attributed to Cr3+ions and singly ionized oxygen vacancies$$V^{\prime}_{{\text{O}}}$$ aligning along an external magnetic field, with$$V^{\prime}_{{\text{O}}}$$ formation linked to$${\text{PO}}_{4}^{{3}-}$$ replacement by$${\text{PO}}_{3}^{{2}-}$$ in HAp.
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Observing flow of He II with unsupervised machine learning
Abstract Time dependent observations of point-to-point correlations of the velocity vector field (structure functions) are necessary to model and understand fluid flow around complex objects. Using thermal gradients, we observed fluid flow by recording fluorescence of$${\text{He}}_{2}^{*}$$ excimers produced by neutron capture throughout a ~ cm3volume. Because the photon emitted by an excited excimer is unlikely to be recorded by the camera, the techniques of particle tracking (PTV) and particle imaging (PIV) velocimetry cannot be applied to extract information from the fluorescence of individual excimers. Therefore, we applied an unsupervised machine learning algorithm to identify light from ensembles of excimers (clusters) and then tracked the centroids of the clusters using a particle displacement determination algorithm developed for PTV.
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- Award ID(s):
- 2100790
- PAR ID:
- 10382196
- Publisher / Repository:
- Nature Publishing Group
- Date Published:
- Journal Name:
- Scientific Reports
- Volume:
- 12
- Issue:
- 1
- ISSN:
- 2045-2322
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
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