Results for “Sb(MoS)2” | Engineering Papers

DOE OSTI2020

Materials Data on Sb(MoS)2 by Materials Project

Sb(MoS)2 crystallizes in the monoclinic P2_1/m space group. The structure is three-dimensional. there are two inequivalent Mo+3.50+ sites. In the first Mo+3.50+ site, Mo+3.50+ is bonded in a 6-coordinate geometry to two equivalent Sb3- and four S2- atoms. Both Mo–Sb bond lengths are 2.91 Å. There are a spread of Mo–S bond distances ranging from 2.37–2.61 Å. In the second Mo+3.50+ site, Mo+3.50+ is bonded in a 3-coordinate geometry to three equivalent Sb3- and three equivalent S2- atoms. There are one shorter (2.88 Å) and two longer (2.92 Å) Mo–Sb bond lengths. There are two shorter (2.37 Å) and one longer (2.39 Å) Mo–S bond lengths. Sb3- is bonded in a 5-coordinate geometry to five Mo+3.50+ atoms. There are two inequivalent S2- sites. In the first S2- site, S2- is bonded in a 3-coordinate geometry to three equivalent Mo+3.50+ atoms. In the second S2- site, S2- is bonded in a 4-coordinate geometry to four Mo+3.50+ atoms.

36 MATERIALS SCIENCE↗

DOE OSTI2021

Deep Learning for Rapid Analysis of Spectroscopic Ellipsometry Data

High‐throughput experimental approaches to rapidly develop new materials require high‐throughput data analysis methods to match. Spectroscopic ellipsometry is a powerful method of optical properties characterization, but for unknown materials and/or layer structures the data analysis using traditional methods of nonlinear regression is too slow for autonomous, closed‐loop, high‐throughput experimentation. Herein, three methods (termed spectral, piecewise, and pointwise) of spectroscopic ellipsometry data analysis based on deep learning are introduced and studied. After initial training, the incremental time for inferring optical properties can be a thousand times faster than traditional methods. Results for multilayer sample structures with optically isotropic materials are presented, appropriate for high‐throughput studies of thin films of phase‐change materials such as GeSbTe (GST) alloys. Results for studies on highly birefringent layered materials are also presented, exemplified by the transition metal dichalcogenide MoS 2 . How the materials under test and the experimental objectives may guide the choice of analysis methods are discussed. The utility of our approach is demonstrated by analyzing data measured on a composition spread of GeSbTe phase‐change alloys containing 177 distinct compositions, and identifying the composition with optimal phase‐change figure of merit in only 1.4 s of analysis time.

Li, Yifei↗