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Abstract
The method of neutron diffraction with selenium isotope substitution is used to measure the structure of glassy As0.30Se0.70, As0.35Se0.65 and As0.40Se0.60. The method delivers three difference functions for each sample in which either the As-As, As-Se or Se-Se correlations are eliminated. The measured coordination numbers are consistent with the "8-N" rule and show that the As0.30Se0.70
network is chemically ordered, a composition near to which there is a minimum in the fragility index and a boundary to the intermediate phase. Chemical ordering in glassy As0.35Se0.65 and As0.40Se0.60 is, however, broken by the appearance of As-As bonds, the fraction of which increases with the arsenic content of the glass. For the As0.40Se0.60 material, a substantial fraction of As-As and Se-Se defect pairs (~11%) is frozen into the network structure on glass formation.
network is chemically ordered, a composition near to which there is a minimum in the fragility index and a boundary to the intermediate phase. Chemical ordering in glassy As0.35Se0.65 and As0.40Se0.60 is, however, broken by the appearance of As-As bonds, the fraction of which increases with the arsenic content of the glass. For the As0.40Se0.60 material, a substantial fraction of As-As and Se-Se defect pairs (~11%) is frozen into the network structure on glass formation.
Original language | English |
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Article number | 154507 |
Number of pages | 18 |
Journal | Journal of Chemical Physics |
Volume | 153 |
Issue number | 15 |
Early online date | 19 Oct 2020 |
DOIs | |
Publication status | Published - 19 Oct 2020 |
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Dive into the research topics of 'Structure of As-Se glasses by neutron diffraction with isotope substitution'. Together they form a unique fingerprint.Projects
- 1 Finished
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Network Structures: from Fundamentals to Functionality
Salmon, P. (PI) & Zeidler, A. (CoI)
Engineering and Physical Sciences Research Council
5/06/12 → 4/10/15
Project: Research council
Datasets
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Dataset for "Structure of As-Se glasses by neutron diffraction with isotope substitution"
Salmon, P. (Creator), Zeidler, A. (Creator) & Polidori, A. (Creator), University of Bath, 5 Oct 2020
DOI: 10.15125/BATH-00902
Dataset