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DOE OSTI2020

Materials Data on K3Y by Materials Project

K3Y is Uranium Silicide-like structured and crystallizes in the tetragonal I4/mmm space group. The structure is three-dimensional. there are two inequivalent K sites. In the first K site, K is bonded to eight K and four equivalent Y atoms to form distorted KK8Y4 cuboctahedra that share corners with twelve equivalent KK8Y4 cuboctahedra, edges with eight equivalent KK8Y4 cuboctahedra, edges with eight equivalent YK12 cuboctahedra, faces with four equivalent YK12 cuboctahedra, and faces with ten equivalent KK8Y4 cuboctahedra. There are four shorter (4.18 Å) and four longer (4.38 Å) K–K bond lengths. All K–Y bond lengths are 4.38 Å. In the second K site, K is bonded in a distorted square co-planar geometry to eight equivalent K and four equivalent Y atoms. All K–Y bond lengths are 4.18 Å. Y is bonded to twelve K atoms to form YK12 cuboctahedra that share corners with four equivalent YK12 cuboctahedra, edges with eight equivalent YK12 cuboctahedra, edges with sixteen equivalent KK8Y4 cuboctahedra, faces with four equivalent YK12 cuboctahedra, and faces with eight equivalent KK8Y4 cuboctahedra.

36 MATERIALS SCIENCE↗

DOE OSTI2020

Materials Data on K3Y by Materials Project

K3Y is alpha bismuth trifluoride structured and crystallizes in the cubic Fm-3m space group. The structure is three-dimensional. there are two inequivalent K sites. In the first K site, K is bonded in a distorted body-centered cubic geometry to four equivalent K and four equivalent Y atoms. All K–K bond lengths are 4.22 Å. All K–Y bond lengths are 4.22 Å. In the second K site, K is bonded in a body-centered cubic geometry to eight equivalent K atoms. Y is bonded in a body-centered cubic geometry to eight equivalent K atoms.

36 MATERIALS SCIENCE↗

NASA NTRS2004

Application of Bayesian Classification to Content-Based Data Management

The high volume of Earth Observing System data has proven to be challenging to manage for data centers and users alike. At the Goddard Earth Sciences Distributed Active Archive Center (GES DAAC), about 1 TB of new data are archived each day. Distribution to users is also about 1 TB/day. A substantial portion of this distribution is MODIS calibrated radiance data, which has a wide variety of uses. However, much of the data is not useful for a particular user's needs: for example, ocean color users typically need oceanic pixels that are free of cloud and sun-glint. The GES DAAC is using a simple Bayesian classification scheme to rapidly classify each pixel in the scene in order to support several experimental content-based data services for near-real-time MODIS calibrated radiance products (from Direct Readout stations). Content-based subsetting would allow distribution of, say, only clear pixels to the user if desired. Content-based subscriptions would distribute data to users only when they fit the user's usability criteria in their area of interest within the scene. Content-based cache management would retain more useful data on disk for easy online access. The classification may even be exploited in an automated quality assessment of the geolocation product. Though initially to be demonstrated at the GES DAAC, these techniques have applicability in other resource-limited environments, such as spaceborne data systems.

Lynnes, Christopher↗