Integrated Combinatorial control of Electrical and Thermal transport properties in Silicides
Solid State and Surface Chemistry, Material Synthesis
Final Report Abstract
The international corporation project ICETS contributed to the understanding of multinary silicides with respect to their electrical and thermal transport properties by experimental and computational efforts. Silicides are part of several technologies, but current knowledge of their properties is fragmented and incomplete. Many phases still need to be explored and there is a need for systematic determination and understanding of their transport properties. Therefore, thin-film materials libraries were fabricated by combinatorial magnetron sputtering processes in the Fe-Si-Ge-Sn system. These materials libraries were assessed for phase stability ranges of single and multiphase regions and composition-structure property relations. Measured functional properties were electrical resistance and thermal conductivity. The challenge of measuring thermal conductivity of thin-film libraries was met by developing successfully high throughput heterodyne time domain thermo-reflectance (HT-TDTR) measurements. Major results of the computational part of the project concerned the accelerated calculation of stability and thermodynamic properties of materials using density functional and machine learning methods.
Publications
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“Ab initio investigation of the anomalous phonon softening in FeSi” Phys. Rev. B, vol. 94, no. 14, p. 144304 (2016)
R. Stern, G. K. H. Madsen
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“Influence of the optical-acoustic phonon hybridization on phonon scattering and thermal conductivity,” Phys. Rev. B, vol. 93, no. 20, p. 205203, May 2016
W. Li, J. Carrete, G. K. H. Madsen, and N. Mingo
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High-throughput heterodyne thermoreflectance: Application to thermal conductivity measurements of a Fe-Si-Ge thin film alloy library, Review of Scientific Instruments, 88 (7), art. no. 074902 (2017)
D’Acremont, Q., Pernot, G., Rampnoux, J.-M., Furlan, A., Lacroix, D., Ludwig, A., Dilhaire, S.
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Influence of Substrate Temperature and Film Thickness on Thermal, Electrical, and Structural Properties of HPPMS and DC Magnetron Sputtered Ge Thin Films, Advanced Engineering Materials, 19 (5), art. no. 1600854 (2017)
Furlan, A., Grochla, D., D’Acremont, Q., Pernot, G., Dilhaire, S., Ludwig, A.
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Materials Screening for the Discovery of New Half-Heuslers: Machine Learning versus ab Initio Methods. J. Phys. Chem. B, (2017)
Legrain, F., Carrete, J., van Roekeghem, A., Madsen, G. K. H., Mingo, N.
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"Influence of point defects on the thermal conductivity in FeSi", Phys. Rev. B 97, 195201 (2018)
Stern, R., Wang, T., Carrete, J., Mingo, N., Madsen, G. K. H.
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Vibrational Properties of Metastable Polymorph Structures by Machine Learning. Journal of Chemical Information and Modeling (2018)
Legrain, F., van Roekeghem, A., Curtarolo, S., Carrete, J., Madsen, G. K. H., Mingo, N.