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.
Influence of composition on fingerprint dynamics in cement-forming bioactive glasses.
Abstract: Glass Ionomer Cements (GICs) - 2nd biggest earner of the British Technology Group - have found numerous applications in dentistry/medicine. The EU Commission in its advocating Hg-free dental/medical materials specifically highlight GICs as an excellent option; albeit currently too brittle for use as permanent implants. Lack of understanding of the influence of composition of the glass on its properties hinders materials optimisation. We look now to fill this void - our ab intio molecular dynamics determinations identify Al-centres as being candidate controllers of flexibility/rigidity; in agreement with historic predictions. We propose to quantitatively characterise fingerprint dynamics of GIC glasses - helping resolve the bases of the composition-dependent dynamics, and their potential for promoting rigidity/flexibility at Al-centre, in the bulk and eventually the cements they form.
Principal Investigator: Dr Gregory Chasse
Experimenter: Miss Safa Almadhi
Experimenter: Dr Kun Tian
Local Contact: Dr Svemir Rudic
Experimenter: Dr Devis Di Tommaso
Experimenter: Professor Neville Greaves
Experimenter: Mr Fu Song
DOI: 10.5286/ISIS.E.RB1610493
ISIS Experiment Number: RB1610493
Part DOI | Instrument | Public release date | Download Link |
---|---|---|---|
10.5286/ISIS.E.73944051 | TOSCA | 03 March 2019 | Download |
Publisher: STFC ISIS Neutron and Muon Source
Data format: RAW/Nexus
Select the data format above to find
out more about it.
Data Citation
The recommended format for citing this dataset in a research
publication is as:
[author], [date], [title], [publisher],
[doi]
For Example:
Dr Gregory Chasse et al; (2016): Influence of composition on fingerprint dynamics in cement-forming bioactive glasses., STFC ISIS Neutron and Muon Source, https://doi.org/10.5286/ISIS.E.RB1610493
Data is released under the CC-BY-4.0 license.