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Kristian Berland, Simen N. H. Eliassen,
How to bring down the thermal conductivity of MNiSn Half-Heuslers - a theoretical analysis Kristian Berland, Simen N. H. Eliassen, A. Katre, G.K.H. Madsen, Clas Persson, O.M. Løvvik
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THELMA thermoelectric project - Half-Heusler branch
Experimental: Synthesis Microstructure analysis (TEM etc) Electronic and thermal transport Theory Electrons Phonons: engineer materials to get low thermal conductivity
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Aside: Corrected based interpolation scheme
arxiv.org/abs/ Electronic transport demands dense sampling of the Brillouin zone. Hybrid calculations too costly New interpolation scheme combined with BoltzTraP. Resolve band crossings
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Boltztmann transport to calculate lattice thermal conductivity of alloys
Lattice thermal transport calculated using Density functional theory Phono3py (finite differences) Boltzmann-transport equation Relaxation-time approximation Alloys using virtual crystal approximation Linear averaging of masses Linear averaging of forces
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Anharmonic three-phonon scattering
Scattering mechanism Anharmonic three-phonon scattering Mass-disorder scattering Boundary scattering
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Step 1: phonon band structure
Rather similar band structures.
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The bulk materials have similar thermal conductivity
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The bulk materials have similar thermal conductivity
Derivative Derivative Energetic acoustic phonons carry the most heat
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Theory captures trend for binary alloying
Ni interstitials could be cause of overestimation for bulk.
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How does alloying affect lattice thermal conductivity?
Zr-Ti, highest thermal conductivity Ti-Hf mixing gives lowest thermal conductivity Why does it look like this?
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Mass-disorder parameter only part of the story
Ti 48u Zr: 91 u Hf: 178 u Can not explain minimum close to Ti0.5Hf0.5. Can not explain difference between Ti-Zr and Zr-Hf. Only mass variance:
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Three-phonon scattering does not at all explain trend in thermal conductivity
Why is 40% Hf, 60% Zr a maximum?
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Phonon-mode nature plays a key role in trends
Acoustic phonon changes nature as we go from ZrNiSn to HfNiSn.
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Mass-disorder scattering enhanced due to phonon modes
Mode nature explains why (Hf- Zr)NiSn has lower thermal conductivity than (Ti-Zr)NiSn.
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Alloying on Ti site less effective for TiNiSn
Mass-variance perspective: Alloying Ti with Hf is very effective Mode perspective: Alloying Ti site is not that effective.
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How to reduce further? Derivative
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Introduce grain boundary scattering
Grain size
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Grain-boundaries scatter low-energetic acoustic phonons
Derivative
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Conclusion: Mode-engineering to lower thermal conductivity
To bring down thermal conductivity, Optimal alloying element can be selected based on the nature of the phonon modes. For ultra-low thermal conductivity, mechanism is also needed to scatter low-energetic phonon modes (nanostructuring)
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