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Functional ceramic materials database: An online resource for materials research

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dc.contributor.author Scott, J D
dc.contributor.author Manos, S
dc.contributor.author Coveney, P V
dc.contributor.author Rossiny, J C H
dc.contributor.author Fearn, S
dc.contributor.author Kilner, J A
dc.contributor.author Pullar, R C
dc.contributor.author Alford, N McN
dc.contributor.author Axelsson, A-K
dc.contributor.author Zhang, Y
dc.contributor.author Chen, L
dc.contributor.author Yang, S
dc.contributor.author Evans, J R G
dc.contributor.author Sebastian, M T
dc.date.accessioned 2014-08-19T08:00:55Z
dc.date.available 2014-08-19T08:00:55Z
dc.date.issued 2008
dc.identifier.citation Journal of Chemical Information and Modeling 48(2):449-455;Feb 2008 en_US
dc.identifier.issn 1549-9596
dc.identifier.uri http://ir.niist.res.in:8080/jspui/handle/123456789/1637
dc.description.abstract We present work on the creation of a ceramic materials database which contains data gleaned from literature data sets as well as new data obtained from combinatorial experiments on the London University Search Instrument. At the time of this writing, the database contains data related to two main groups of materials, mainly in the perovskite family. Permittivity measurements of electroceramic materials are the first area of interest, while ion diffusion measurements of oxygen ion conductors are the second. The nature of the database design does not restrict the type of measurements which can be stored; as the available data increase, the database may become a generic, publicly available ceramic materials resource. en_US
dc.language.iso en en_US
dc.publisher American Chemical Society en_US
dc.subject Artificial neural-networks en_US
dc.subject Combinatorial libraries en_US
dc.subject Dielectric ceramics en_US
dc.title Functional ceramic materials database: An online resource for materials research en_US
dc.type Article en_US


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