1998
DOI: 10.1088/0953-8984/10/14/006
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Microstructure and hyperfine interactions of the nanocrystalline alloys: Mössbauer effect temperature measurements

Abstract: Mössbauer spectrometry, magnetization measurements and differential scanning calorimetry were used to investigate the microstructure and hyperfine interactions in the nanocrystalline alloy obtained by heat treatment of the original amorphous precursor at the temperature of for 1 hour. transmission Mössbauer spectra were taken in the temperature range 5-475 K without and with external magnetic field oriented parallel and perpendicular to the ribbon-shaped sample. The as-quenched state of the alloy was also… Show more

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Cited by 16 publications
(9 citation statements)
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“…Mössbauer spectroscopy has been shown to be a powerful tool for magnetic and structural characterization of nanostructured magnetic alloys based on iron AKSENOVA, CHUEV [4][5][6][7][8][9][10][11][12][13]. The materials consist of nanoparticles in the form of α -Fe crystal grains embedded in an amorphous matrix.…”
Section: Mössbauer Spectra In the Gtlr Modelmentioning
confidence: 99%
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“…Mössbauer spectroscopy has been shown to be a powerful tool for magnetic and structural characterization of nanostructured magnetic alloys based on iron AKSENOVA, CHUEV [4][5][6][7][8][9][10][11][12][13]. The materials consist of nanoparticles in the form of α -Fe crystal grains embedded in an amorphous matrix.…”
Section: Mössbauer Spectra In the Gtlr Modelmentioning
confidence: 99%
“…An advantage of this approach is that it does not presuppose any knowledge of the distributions to be identified. It was instrumental in reconstructing the temperature variation of the H hf distribution for the nanoparticles and the matrix; furthermore, interface zones were thus discovered between the two phases [4][5][6]. However, the common approach gives little or no quantitative information about the individual contributions of the phases to the resulting distribution of hyperfine-structure parameters.…”
Section: Mössbauer Spectra In the Gtlr Modelmentioning
confidence: 99%
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