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Results for “Sr(CdP)2”

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All sourcesNASA NTRSDOE OSTI
DOE OSTI2020

Materials Data on Sr(CdP)2 by Materials Project

Sr(CdP)2 crystallizes in the trigonal P-3m1 space group. The structure is three-dimensional. Sr2+ is bonded to six equivalent P3- atoms to form SrP6 octahedra that share corners with twelve equivalent CdP4 tetrahedra, edges with six equivalent SrP6 octahedra, and edges with six equivalent CdP4 tetrahedra. All Sr–P bond lengths are 3.14 Å. Cd2+ is bonded to four equivalent P3- atoms to form CdP4 tetrahedra that share corners with six equivalent SrP6 octahedra, corners with six equivalent CdP4 tetrahedra, edges with three equivalent SrP6 octahedra, and edges with three equivalent CdP4 tetrahedra. The corner-sharing octahedra tilt angles range from 18–54°. There are three shorter (2.66 Å) and one longer (2.80 Å) Cd–P bond lengths. P3- is bonded to three equivalent Sr2+ and four equivalent Cd2+ atoms to form a mixture of distorted edge and corner-sharing PSr3Cd4 pentagonal bipyramids.

36 MATERIALS SCIENCE↗
DOE OSTI2021

Computational design of thermoelectric alloys through optimization of transport and dopability

Alloying is a common technique to optimize the functional properties of materials for thermoelectrics, photovoltaics, energy storage etc. Designing thermoelectric (TE) alloys is especially challenging because it is a multi-property optimization problem, where the properties that contribute to high TE performance are interdependent. In this work, we develop a computational framework that combines first-principles calculations with alloy and point defect modeling to identify alloy compositions that optimize the electronic, thermal, and defect properties. We apply this framework to design n-type Ba 2(1–x) Sr 2x CdP 2 Zintl thermoelectric alloys. Our predictions of the crystallographic properties such as lattice parameters and site disorder are validated with experiments. To optimize the conduction band electronic structure, we perform band unfolding to sketch the effective band structures of alloys and find a range of compositions that facilitate band convergence and minimize alloy scattering of electrons. Here, we assess the n-type dopability of the alloys by extending the standard approach for computing point defect energetics in ordered structures. Through the application of this framework, we identify an optimal alloy composition range with the desired electronic and thermal transport properties, and n-type dopability. Such a computational framework can also be used to design alloys for other functional applications beyond TE.

36 MATERIALS SCIENCE↗