ISIS Neutron and Muon Source Data Journal

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.


Thermal expansion of Earth minerals to mantle temperatures: benchmark data for ab initio and finite strain models

Abstract: The chemistry, mineralogy and temperature of Earth?s interior are the most fundamental properties of our planet, but because direct access is limited we must infer them from seismological observations. This requires knowledge of the properties for Earth's minerals at mantle P&T. Unfortunately, experimental measurements are sparse, such that finite-strain extrapolations or ab-initio calculations are required. However, the accuracy of neither method is demonstrated, and no data to test these techniques exists. Here we will measure the thermal expansivity of forsterite and periclase (two abundant mantle minerals) to temperatures of the mantle adiabat. This will allow us to benchmark the accuracy of current approaches and build correction routines if required, to improve the accuracy of calcualtions and/or extrapolations.

Principal Investigator: Dr Andrew Thomson
Experimenter: Dr Paul Schofield
Experimenter: Professor Ian Wood
Experimenter: Miss Eve Tripoliti
Local Contact: Dr Dominic Fortes

DOI: 10.5286/ISIS.E.RB2410563

ISIS Experiment Number: RB2410563

Part DOI Instrument Public release date Download Link
10.5286/ISIS.E.RB2410563-1 HRPD 02 December 2027 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 Andrew Thomson et al; (2024): Thermal expansion of Earth minerals to mantle temperatures: benchmark data for ab initio and finite strain models, STFC ISIS Neutron and Muon Source, https://doi.org/10.5286/ISIS.E.RB2410563

Data is released under the CC-BY-4.0 license.



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