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Updated: Jun 24, 2025
11:11
Experimental Methods for Investigation of Shape Memory Based Elastocaloric Cooling Processes and Model Validation
Published on: May 2, 2016
11.0K
Giant elastocaloric effect at low temperatures in TmVO4 and implications for cryogenic cooling
Mark P Zic1, Matthias S Ikeda2, Pierre Massat2
1Department of Physics, and Geballe Laboratory for Advanced Materials, Stanford University, Stanford, CA 94305.
Summary
Adiabatic decompression of paraquadrupolar materials like TmVO[Formula: see text] shows promise for cryogenic cooling. Rapidly oscillating strain reveals the material
Area of Science:
- Condensed Matter Physics
- Materials Science
Background:
- Adiabatic decompression of paraquadrupolar materials is a potential cryogenic cooling technology.
- TmVO[Formula: see text] exhibits a continuous phase transition to a ferroquadrupole-ordered state at 2.15 K.
- Crystal electric field degeneracy in Tm ions contributes significant entropy above the phase transition.
Purpose of the Study:
- To investigate the adiabatic elastocaloric response of single-crystal TmVO[Formula: see text].
- To experimentally determine the entropy landscape as a function of strain and temperature.
- To assess the suitability of TmVO[Formula: see text] for cryogenic cooling applications.
Main Methods:
- Utilized a dynamic technique involving rapid strain oscillation.
- Measured the adiabatic elastocaloric response of single-crystal TmVO[Formula: see text].
- Analyzed the entropy landscape influenced by strain and temperature.
Main Results:
- Experimentally obtained the entropy landscape of TmVO[Formula: see text] under dynamic strain.
- Confirmed the significant magnetoelastic coupling and its tunability via strain.
- Provided insights into the dynamic quadrupole strain susceptibility.
Conclusions:
- TmVO[Formula: see text] is suitable for cryogenic cooling applications.
- The study validates the potential of paraquadrupolar materials for advanced cooling technologies.
- Understanding dynamic quadrupole strain susceptibility is crucial for material optimization.
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