2023
DOI: 10.1021/acs.nanolett.2c04454
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Anomalous Anisotropic Dopant Distribution in Hexagonal Yttrium Sublattice

Abstract: Trivalent lanthanides are commonly incorporated into sodium yttrium fluoride nanocrystals to enhance their optical properties. Lanthanides are expected to randomly replace trivalent yttrium cations due to their isovalent nature, and the dopant−dopant distance decreases with increasing dopant concentration. Combining spectroscopy with quantum mechanical calculations, we find that large lanthanides exhibit an anisotropic distribution in the hexagonal yttrium sublattice at low dopant concentrations. This counteri… Show more

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Cited by 4 publications
(2 citation statements)
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“…">IntroductionRecently, mineralized materials featuring precise structures, high mechanical properties, high tunability and excellent biocompatibility have been attracting widespread attention for their unique inorganic-organic structures. [1][2][3][4] Mineralization mechanism involves the interaction between organic matrices and inorganic crystallization, including the process of nucleation, growth, phase transformation, orientation and assembly. [5][6][7] Most researchers are now more accepting of the formation of mineral…”
mentioning
confidence: 99%
“…">IntroductionRecently, mineralized materials featuring precise structures, high mechanical properties, high tunability and excellent biocompatibility have been attracting widespread attention for their unique inorganic-organic structures. [1][2][3][4] Mineralization mechanism involves the interaction between organic matrices and inorganic crystallization, including the process of nucleation, growth, phase transformation, orientation and assembly. [5][6][7] Most researchers are now more accepting of the formation of mineral…”
mentioning
confidence: 99%
“…Importantly, the optimization processes demonstrated here reproduced canonical UCNP heterostructures and uncovered conventional UCNP knowledge. This workflow can be readily extended to optimization of even more complex heterostructures that incorporate a more diverse dopant pool as well as atomic imperfections such as defects and heterogeneous doping probabilities . Such machine-learning-guided optimization should be equally effective for directing experimental campaigns, providing new insights into the rational design of UCNPs and increasing the general applicability of upconversion nanotechnologies.…”
mentioning
confidence: 99%