Please use this identifier to cite or link to this item: http://localhost:8080/xmlui/handle/123456789/1637
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dc.contributor.authorScott, J D-
dc.contributor.authorManos, S-
dc.contributor.authorCoveney, P V-
dc.contributor.authorRossiny, J C H-
dc.contributor.authorFearn, S-
dc.contributor.authorKilner, J A-
dc.contributor.authorPullar, R C-
dc.contributor.authorAlford, N McN-
dc.contributor.authorAxelsson, A-K-
dc.contributor.authorZhang, Y-
dc.contributor.authorChen, L-
dc.contributor.authorYang, S-
dc.contributor.authorEvans, J R G-
dc.contributor.authorSebastian, M T-
dc.date.accessioned2014-08-19T08:00:55Z-
dc.date.available2014-08-19T08:00:55Z-
dc.date.issued2008-
dc.identifier.citationJournal of Chemical Information and Modeling 48(2):449-455;Feb 2008en_US
dc.identifier.issn1549-9596-
dc.identifier.urihttp://ir.niist.res.in:8080/jspui/handle/123456789/1637-
dc.description.abstractWe 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.isoenen_US
dc.publisherAmerican Chemical Societyen_US
dc.subjectArtificial neural-networksen_US
dc.subjectCombinatorial librariesen_US
dc.subjectDielectric ceramicsen_US
dc.titleFunctional ceramic materials database: An online resource for materials researchen_US
dc.typeArticleen_US
Appears in Collections:2008

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