This is a page describing data taken during an experiment at the ISIS Neutron and Muon Source. Information about the ISIS Neutron and Muon Source can be found at https://www.isis.stfc.ac.uk.
Structural characterization of semiconducting copper tellutrite glasses by high-Q neutron diffraction
Abstract: The proposal aims to study the structural properties of xCuO-(100-x)TeO2 (x= 30, 40 and 50 mol%) glasses by high-Q neutron diffraction and correlate the the glass short-range and medium-range order with its electronic conductivity. Copper tellurite glasses are semiconducting and their conductivity increases signficantly with an increase in CuO concentration. Conduction is due to the hopping mecahinsm in which an electron jumps from one copper site to another. Reverse Monte Carlo simulations on the neutron diffraction datasets will provide information on the Cu-Cu, Cu-Te, Cu-O, Te-Te and Te-O atomic pair correlations, bond lengths, speciation, bond-angle distributions and correlate the changes in glass structure with conductivity. Insitu high temperature neutron diffraction studies upto 200oC will reveal changes in cation-cation separations that influence the electrical conductivity.
Principal Investigator: Professor Atul Khanna
Experimenter: Mr Hirdesh Hirdesh
Experimenter: Miss Amarjot Kaur
Experimenter: Ms Navjot Kaur
Experimenter: Mr Ravish Kumar Jain
Local Contact: Dr Alex Hannon
DOI: 10.5286/ISIS.E.RB2068067
ISIS Experiment Number: RB2068067
Part DOI | Instrument | Public release date | Download Link |
---|---|---|---|
10.5286/ISIS.E.RB2068067-1 | GEM | 27 November 2023 | Download |
Publisher: STFC ISIS Neutron and Muon Source
Data format: RAW/Nexus
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Data Citation
The recommended format for citing this dataset in a research
publication is as:
[author], [date], [title], [publisher],
[doi]
For Example:
Professor Atul Khanna et al; (2020): Structural characterization of semiconducting copper tellutrite glasses by high-Q neutron diffraction, STFC ISIS Neutron and Muon Source, https://doi.org/10.5286/ISIS.E.RB2068067
Data is released under the CC-BY-4.0 license.