85 research outputs found
Crystal structure of the pyrochlore oxide superconductor KOsO
We report the single-crystal X-ray analysis of the structure of the
pyrochlore oxide superconductor KOsO. The structure was identified as
the -pyrochlore structure with space group and lattice
constant = 10.089(2)~\AA at 300 K: the K atom is located at the 8 site,
not at the 16 site as in conventional pyrochlore oxides. We found an
anomalously large atomic displacement parameter =
0.0735(8)~\AA at 300 K for the K cation, which suggests that the K cation
weakly bound to an oversized OsO cage exhibits intensive
rattling, as recently observed for clathrate compounds. The rattling of A
cations is a common feature in the series of -pyrochlore oxide
superconductors AOsO (A = Cs, Rb and K), and is greatest for the
smallest K cation.Comment: 5 pages, 5 figures, to appear in J. Solid. State. Che
Chemical trends of superconducting properties in pyrochlore oxides
Chemical trends of fundamental superconducting parameters and normal-state
properties are described for a family of pyrochlore oxide superconductors.
Particularly, the change of Tc from 1.0 K for alpha-pyrochlore Cd2Re2O7 to 3.3
K (A = Cs), 6.3 K (Rb), and 9.6 K (K) for beta-pyrochlore AOs2O6 is discussed
on the basis of the conventional BCS scheme. Enhanced Tc and anomalous features
observed for KOs2O6 are ascribed to low-energy phonons probably coming from the
rattling of the K cations.Comment: 8 pages, to be published in the Proceedings of M2S-HTSC2006 (Physica
C
Interface analysis between GSVML and HL7 version 3
AbstractIn order to realize gene-based medicine, a number of key challenges must be overcome. Construction of infrastructure capable of integrating genetic and clinical information is one of those challenges. The Genomic Sequence Variation Markup Language (GSVML) and the Health Level Seven Version 3 (HL7v3) are important electronic data exchange standards for clinical genome infrastructure, and compatibility between these two standards will promote the above integration. In this study, we analyzed the interface between GSVML and HL7v3, primarily for the Clinical Genomics Domain, from a view of the GSVML, and were able to create a blueprint for a functional interface between GSVML and HL7v3. We expect that these analytical results will help accelerate the realization of gene-based medicine
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