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Mapping the genome of intermetallic clathrates

ORAL · Invited

Abstract

Inorganic clathrates and, in general, semiconducting host/guest compounds feature unique properties, such as ultra-low thermal conductivity, high carrier mobility, superconductivity, and high-density ion storage. They consist of tetrahedrally coordinated frames of nanometer-size polyhedral cages encapsulating metallic guest atoms. Whereas conventional clathrates normally contain group 14 elements (Si, Ge, Sn) as framework atoms, a few stable intermetallic “unconventional” clathrates have been discovered and characterized.

In this work, we have developed a high-throughput approach that combines electronic structure theory and machine learning to systematically compute the formation energy of several thousand compositions and identify new stable ternary and quaternary compounds.

Several proposed compositions have been tested by synthesis providing feedback to the calculations and leading to the discovery of new intermetallic host/guest compounds with either clathrate-like or competing structures. Single-phase synthesis and first-principles calculations enabled the joint theoretical and experimental characterization of their transport properties, revealing promising thermoelectric performance, other-disorder phase transitions, and extremely low thermal conductivity.

Publication: [1] P. Yox, F. Cerasoli, A. Sarkar, V. Kyveryga, G. Viswanathan, D. Donadio, and K. Kovnir, New Trick for an Old Dog: From Prediction to Properties of "Hidden Clathrates" Ba2Zn5As6 and Ba2Zn5Sb6, J. Am. Chem. Soc. 145, 4638 (2023).<br>[2] P. Yox, F. T. Cerasoli, A. Sarkar, G. Amobi, G. Viswanathan, J. Voyles, O. l. Lebedev, D. Donadio, and K. Kovnir, Organizing Chaos: Boosting Thermoelectric Properties by Ordering the Clathrate Framework of Ba8Cu16As30, Chem. Mater. (2024).<br>[3] A. Sarkar, F. T. Cerasoli, G. Viswanathan, D. Donadio, and K. Kovnir, ABa6Cu31Te22 (A = K, Rb, Cs) Featuring Polyanionic Copper–Telluride Frameworks with Ultralow Thermal Conductivity, ACS Appl. Mater. Interfaces 16, 39613 (2024).<br>[4] F. T. Cerasoli and D. Donadio, Effective optimization of atomic decoration in giant and superstructurally ordered crystals with machine learning, J. Chem. Phys. 161, 044101 (2024).<br>

Presenters

  • Davide Donadio

    University of California, Davis, University of California Davis

Authors

  • Davide Donadio

    University of California, Davis, University of California Davis

  • Franklin T Cerasoli

    University of California Davis

  • Kirill Kovnir

    Iowa State University

  • Philip Yox

    Iowa State University

  • Arka Sarkar

    Iowa State University

  • Genevieve Amobi

    Iowa State University