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Control of polymorphism during epitaxial growth of hyperferroelectric candidate LiZnSb on GaSb (111)B

A major challenge for ferroelectric devices is the depolarization field, which competes with and often destroys long-range polar order in the limit of ultrathin films. Recent theoretical predictions suggest a new class of materials, termed hyperferroelectics, that should be robust against the depolarization field and enable ferroelectricity down to the monolayer limit. Here, the authors demonstrate the epitaxial growth of hexagonal LiZnSb, one of the hyperferroelectric candidate materials, by molecular-beam epitaxy on GaSb (111)B substrates. Due to the high volatility of all three atomic species, they find that LiZnSb can be grown in an adsorption-controlled window, using an excess zinc flux. Within this window, the desired polar hexagonal phase is stabilized with respect to a competing cubic polymorph, as revealed by x-ray diffraction and transmission electron microscopy measurements. First-principles calculations show that for moderate amounts of epitaxial strain and moderate concentrations of Li vacancies, the cubic LiZnSb phase is lower in formation energy than the hexagonal phase, but only by a few millielectronvolts per formula unit. Therefore, they suggest that kinetics plays a role in stabilizing the desired hexagonal phase at low temperatures. Their results provide a path toward experimentally demonstrating ferroelectricity and hyperferroelectricity in a new class of ternary intermetallic compounds.

42 ENGINEERING↗

Materials Data on LiZnSb by Materials Project

LiZnSb crystallizes in the hexagonal P6_3mc space group. The structure is three-dimensional. Li1+ is bonded to six equivalent Sb3- atoms to form distorted LiSb6 octahedra that share corners with twelve equivalent LiSb6 octahedra, corners with nine equivalent ZnSb4 tetrahedra, edges with six equivalent LiSb6 octahedra, edges with three equivalent ZnSb4 tetrahedra, faces with two equivalent LiSb6 octahedra, and faces with three equivalent ZnSb4 tetrahedra. The corner-sharing octahedral tilt angles are 49°. There are three shorter (3.03 Å) and three longer (3.28 Å) Li–Sb bond lengths. Zn2+ is bonded to four equivalent Sb3- atoms to form ZnSb4 tetrahedra that share corners with nine equivalent LiSb6 octahedra, corners with twelve equivalent ZnSb4 tetrahedra, edges with three equivalent LiSb6 octahedra, and faces with three equivalent LiSb6 octahedra. The corner-sharing octahedra tilt angles range from 13–56°. There are three shorter (2.71 Å) and one longer (2.77 Å) Zn–Sb bond lengths. Sb3- is bonded in a 10-coordinate geometry to six equivalent Li1+ and four equivalent Zn2+ atoms.

36 MATERIALS SCIENCE↗

Materials Data on LiZnSb by Materials Project

LiZnSb is half-Heusler structured and crystallizes in the cubic F-43m space group. The structure is three-dimensional. Li1+ is bonded to four equivalent Sb3- atoms to form LiSb4 tetrahedra that share corners with four equivalent ZnSb4 tetrahedra, corners with twelve equivalent LiSb4 tetrahedra, and edges with six equivalent ZnSb4 tetrahedra. All Li–Sb bond lengths are 2.77 Å. Zn2+ is bonded to four equivalent Sb3- atoms to form ZnSb4 tetrahedra that share corners with four equivalent LiSb4 tetrahedra, corners with twelve equivalent ZnSb4 tetrahedra, and edges with six equivalent LiSb4 tetrahedra. All Zn–Sb bond lengths are 2.77 Å. Sb3- is bonded in a body-centered cubic geometry to four equivalent Li1+ and four equivalent Zn2+ atoms.

36 MATERIALS SCIENCE↗

Denoising atomic resolution 4D scanning transmission electron microscopy data with tensor singular value decomposition

Tensor singular value decomposition (SVD) is a method to find a low-dimensional representation of data with meaningful structure in three or more dimensions. Here, tensor SVD has been applied to denoise atomic-resolution 4D scanning transmission electron microscopy (4D STEM) data. On data simulated from a SrTiO 3 [100] perfect crystal and a Si [110] edge dislocation, tensor SVD achieved an average peak signal-to-noise ratio (PSNR) of ~40 dB, which matches or exceeds the performance of other denoising methods, with processing times at least 100 times shorter. On experimental data from SrTiO 3 [100] and LiZnSb [11 2 ¯ 0]/GaSb [110] samples, tensor SVD denoises multiple GB 4D STEM data sets in ten minutes on a typical personal computer. Denoising with tensor SVD improves both convergent beam electron diffraction patterns and virtual-aperture annular dark field images.

36 MATERIALS SCIENCE↗